cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5830152
title: Figures 4 and S3 Matlab code from Implications of asymptomatic carriers for infectious disease transmission and control

description: Matlab code to generate Figures 3 and S4
DOI: 10.6084/m9.figshare.5830152.v1
title: Figures 4 and S3 Matlab code from Implications of asymptomatic carriers for infectious disease transmission and control

description: Matlab code to generate Figures 3 and S4
DOI: 10.6084/m9.figshare.5830155
title: Figure 3 Matlab code from Implications of asymptomatic carriers for infectious disease transmission and control

description: Matlab code to generate Figure 3
DOI: 10.6084/m9.figshare.5830155.v1
title: Figure 3 Matlab code from Implications of asymptomatic carriers for infectious disease transmission and control

description: Matlab code to generate Figure 3
DOI: 10.6084/m9.figshare.5830158
title: Figure S2 Matlab code from Implications of asymptomatic carriers for infectious disease transmission and control

description: Matlab code to generate Figure S2
DOI: 10.6084/m9.figshare.5830158.v1
title: Figure S2 Matlab code from Implications of asymptomatic carriers for infectious disease transmission and control

description: Matlab code to generate Figure S2
DOI: 10.6084/m9.figshare.5830161
title: Figure S4 Matlab code from Implications of asymptomatic carriers for infectious disease transmission and control

description: Matlab code to generate Figure S4
DOI: 10.6084/m9.figshare.5830161.v1
title: Figure S4 Matlab code from Implications of asymptomatic carriers for infectious disease transmission and control

description: Matlab code to generate Figure S4
DOI: 10.6084/m9.figshare.5830320
title: Measuring Scientific Prestige of Papers with Time-Aware Mutual Reinforcement Ranking Model

description: This is the raw data of the manuscript "Measuring Scientific Prestige of Papers with Time-Aware Mutual Reinforcement Ranking Model" .The data contain four zip files and a .xlsx file. The first one is the raw data used in our manuscript, and the other four are the experimental results of our study.
DOI: 10.6084/m9.figshare.5830320.v2
title: Measuring Scientific Prestige of Papers with Time-Aware Mutual Reinforcement Ranking Model

description: This is the raw data of the manuscript "Measuring Scientific Prestige of Papers with Time-Aware Mutual Reinforcement Ranking Model" .The data contain four zip files and a .xlsx file. The first one is the raw data used in our manuscript, and the other four are the experimental results of our study.
DOI: 10.6084/m9.figshare.5830320.v1
title: Measuring Scientific Prestige of Papers with Time-Aware Mutual Reinforcement Ranking Model

description: This is the raw data of the manuscript "Measuring Scientific Prestige of Papers with Time-Aware Mutual Reinforcement Ranking Model" .The data contain four zip files. The first one is the raw data used in our manuscript, and the other three are the experimental results of our study.
DOI: 10.6084/m9.figshare.5830359
title: Additional file 1: Table S1. of Over-expression of oncigenic pesudogene DUXAP10 promotes cell proliferation and invasion by regulating LATS1 and Î˛-catenin in gastric cancer

description: Primer, siRNA and shRNA sequence, and antibodies information. (XLS 55Â kb)
DOI: 10.6084/m9.figshare.5830359.v1
title: Additional file 1: Table S1. of Over-expression of oncigenic pesudogene DUXAP10 promotes cell proliferation and invasion by regulating LATS1 and Î˛-catenin in gastric cancer

description: Primer, siRNA and shRNA sequence, and antibodies information. (XLS 55Â kb)
DOI: 10.6084/m9.figshare.5830380
title: Additional file 2: Table S2. of Over-expression of oncigenic pesudogene DUXAP10 promotes cell proliferation and invasion by regulating LATS1 and Î˛-catenin in gastric cancer

description: Pseudogenes profiling in gastric cancer from four GEO datasets. (XLSX 61Â kb)
DOI: 10.6084/m9.figshare.5830380.v1
title: Additional file 2: Table S2. of Over-expression of oncigenic pesudogene DUXAP10 promotes cell proliferation and invasion by regulating LATS1 and Î˛-catenin in gastric cancer

description: Pseudogenes profiling in gastric cancer from four GEO datasets. (XLSX 61Â kb)
DOI: 10.6084/m9.figshare.5830971
title: Resource reallocation patterns within Sagittaria trifolia inflorescences following differential pollination 'fruitlevel5trt.dat'

description: The columns left to right are treatment, trt number, individual, trt level, flower number, fruit set and experimental date.In treatment, 'XZH' refers to Cf; 'XZX' refers to Ci; 'YJH' refers to Sf; 'YJX' refers to Si; 'YJHX' refers to Cfi.In trt level, 'H' means flower level manipulation; 'X' means inflorescence level manipulation.In fruit set, 0 means abortion; 1 means fruit successfully set.
DOI: 10.6084/m9.figshare.5830971.v1
title: Resource reallocation patterns within Sagittaria trifolia inflorescences following differential pollination 'fruitlevel5trt.dat'

description: The columns left to right are treatment, trt number, individual, trt level, flower number, fruit set and experimental date.In treatment, 'XZH' refers to Cf; 'XZX' refers to Ci; 'YJH' refers to Sf; 'YJX' refers to Si; 'YJHX' refers to Cfi.In trt level, 'H' means flower level manipulation; 'X' means inflorescence level manipulation.In fruit set, 0 means abortion; 1 means fruit successfully set.
DOI: 10.6084/m9.figshare.5830974
title: Resource reallocation patterns within Sagittaria trifolia inflorescences following differential pollination 'dzpyjpmax3weight.dat'

description: The columns left to right are treatment, individual, category, seed number, experimental date and seed weight.In treatment, 'dzp' refers to Sm complex inflorescences; 'YJP' refers Sw complex inflorescences.In category, 'C' refers to lateral branch; 'Z' refers to main branch.<br>
DOI: 10.6084/m9.figshare.5830974.v1
title: Resource reallocation patterns within Sagittaria trifolia inflorescences following differential pollination

description: The columns left to right are treatment, individual, category, seed number, experimental date and seed weight.In treatment, 'dzp' refers to Sm complex inflorescences; 'YJP' refers Sw complex inflorescences.In category, 'C' refers to lateral branch; 'Z' refers to main branch.<br>
DOI: 10.6084/m9.figshare.5830974.v2
title: Resource reallocation patterns within Sagittaria trifolia inflorescences following differential pollination 'dzpyjpmax3weight.dat'

description: The columns left to right are treatment, individual, category, seed number, experimental date and seed weight.In treatment, 'dzp' refers to Sm complex inflorescences; 'YJP' refers Sw complex inflorescences.In category, 'C' refers to lateral branch; 'Z' refers to main branch.<br>
DOI: 10.6084/m9.figshare.5830980
title: Resource reallocation patterns within Sagittaria trifolia inflorescences following differential pollination 'fruitleveldzpyjp.dat'

description: The columns left to right are treatment, trt number, individual, category, flower number, fruit set and experimental date.In treatment, 'DZP' refers to Sm complex inflorescences; 'YJP' refers to Sw complex inflorescences.In category, 'C' refers to lateral branch; 'Z' refers to main branch.In fruit set, 0 means abortion; 1 means fruit successfully set.
DOI: 10.6084/m9.figshare.5830980.v1
title: Resource reallocation patterns within Sagittaria trifolia inflorescences following differential pollination 'fruitleveldzpyjp.dat'

description: The columns left to right are treatment, trt number, individual, category, flower number, fruit set and experimental date.In treatment, 'DZP' refers to Sm complex inflorescences; 'YJP' refers to Sw complex inflorescences.In category, 'C' refers to lateral branch; 'Z' refers to main branch.In fruit set, 0 means abortion; 1 means fruit successfully set.
DOI: 10.6084/m9.figshare.5830983
title: Resource reallocation patterns within Sagittaria trifolia inflorescences following differential pollination 'hhweight.dat'

description: The columns left to right are treatment, trt number, trt level, seed number, seed size (in pixel), experimental date, and seed weight (mg).In treatment, 'XZH' refers to Cf; 'YJH' refers to Sf.In trt level, 'H' refers to flower level manipulation.
DOI: 10.6084/m9.figshare.5830983.v1
title: Resource reallocation patterns within Sagittaria trifolia inflorescences following differential pollination 'hhweight.dat'

description: The columns left to right are treatment, trt number, trt level, seed number, seed size (in pixel), experimental date, and seed weight (mg).In treatment, 'XZH' refers to Cf; 'YJH' refers to Sf.In trt level, 'H' refers to flower level manipulation.
DOI: 10.6084/m9.figshare.5831073
title: Resource reallocation patterns within Sagittaria trifolia inflorescences following differential pollination 'xxmax3weight.dat'

description: The columns left to right are treatment, trt number, individual, trt level, fruit id, seed number, seed size (in pixel), experimental date and seed weight (mg).In treatment, 'XZX' refers to Ci simple inflorescences; 'YJX' refers to Si simple inflorescences.In trt level, 'X' refers to inflorescence level manipulation.
DOI: 10.6084/m9.figshare.5831073.v1
title: Resource reallocation patterns within Sagittaria trifolia inflorescences following differential pollination 'xxmax3weight.dat'

description: The columns left to right are treatment, trt number, individual, trt level, fruit id, seed number, seed size (in pixel), experimental date and seed weight (mg).In treatment, 'XZX' refers to Ci simple inflorescences; 'YJX' refers to Si simple inflorescences.In trt level, 'X' refers to inflorescence level manipulation.
DOI: 10.6084/m9.figshare.5831616
title: Arbuscular mycorrhizal fungal community structure and diversity are affected by host plant species and soil depth in the Mu Us Desert, northwest China

description: The vertical diversity and distribution of arbuscular mycorrhizal (AM) fungi were investigated in the Mu Us Desert, northwest China. Soils were sampled to 50 cm in depth in the rhizospheres of <i>Hedysarum laeve, Artemisia ordosica</i>, and <i>Psammochloa villosa</i> and 44 AM fungal species belonging to 10 genera were isolated. Several of these species have peculiar morphological features, which are distinct from other habitats. AM fungal diversity and distribution differed significantly among the three host plants and the five soil layers. Spore density, species richness, and the Shannon-Wiener index of AM fungi were 0.55–4.3 spores g<sup>−1</sup> soil, 7–36 and 1.78–2.89, respectively. Spore density and species richness had a significant positive correlation with soil total phosphorus content (0.0377–0.1129 mg g<sup>−1</sup>), and a negative correlation with soil pH (7.19–7.64). Nonmetric multidimensional scaling, PerMANOVA, and structural equation model analysis demonstrated that host plant species and soil depth significantly and directly influenced the structure of AM fungal communities. We concluded that diversity and distribution of AM fungi might be influenced by plant species, soil depth patterns, and soil nutrient availability in desert ecosystems. This research into AM fungal communities may lead to the development of AM fungi treatment for the mitigation of soil erosion and desertification using mycorrhizal plants, such as <i>H. laeve, A. ordosica</i>, and <i>P. villosa.</i>
DOI: 10.6084/m9.figshare.5831616.v1
title: Arbuscular mycorrhizal fungal community structure and diversity are affected by host plant species and soil depth in the Mu Us Desert, northwest China

description: The vertical diversity and distribution of arbuscular mycorrhizal (AM) fungi were investigated in the Mu Us Desert, northwest China. Soils were sampled to 50 cm in depth in the rhizospheres of <i>Hedysarum laeve, Artemisia ordosica</i>, and <i>Psammochloa villosa</i> and 44 AM fungal species belonging to 10 genera were isolated. Several of these species have peculiar morphological features, which are distinct from other habitats. AM fungal diversity and distribution differed significantly among the three host plants and the five soil layers. Spore density, species richness, and the Shannon-Wiener index of AM fungi were 0.55–4.3 spores g<sup>−1</sup> soil, 7–36 and 1.78–2.89, respectively. Spore density and species richness had a significant positive correlation with soil total phosphorus content (0.0377–0.1129 mg g<sup>−1</sup>), and a negative correlation with soil pH (7.19–7.64). Nonmetric multidimensional scaling, PerMANOVA, and structural equation model analysis demonstrated that host plant species and soil depth significantly and directly influenced the structure of AM fungal communities. We concluded that diversity and distribution of AM fungi might be influenced by plant species, soil depth patterns, and soil nutrient availability in desert ecosystems. This research into AM fungal communities may lead to the development of AM fungi treatment for the mitigation of soil erosion and desertification using mycorrhizal plants, such as <i>H. laeve, A. ordosica</i>, and <i>P. villosa.</i>
DOI: 10.6084/m9.figshare.5838486
title: Premature birth and circadian preference in young adulthood: evidence from two birth cohorts

description: A preference for eveningness (being a “night owl”) and preterm birth (&lt;37 weeks of gestation) are associated with similar adversities, such as elevated blood pressure, impaired glucose regulation, poorer physical fitness, and lower mood. Yet, it remains unclear if and how preterm birth is associated with circadian preference. The aim of this study was to assess this association across the whole gestation range, using both objective and subjective measurements of circadian preference. Circadian preference was measured among 594 young adults (mean age 24.3 years, SD 1.3) from two cohorts: the ESTER study and the Arvo Ylppö Longitudinal Study. We compared 83 participants born early preterm (&lt;34 weeks) and 165 late preterm (34 to &lt;37 weeks) with those born at term (≥37 weeks, <i>n</i> = 346). We also compared very low birth weight (VLBW, &lt;1500 g) participants with term-born controls. We obtained objective sleep data with actigraphs that were worn for a mean period of 6.8 (SD 1.4) nights. Our primary outcome was sleep midpoint during weekdays and weekend. The sleep midpoint is the half-way time between falling asleep and waking up, and it represents sleep timing. We also investigated subjective chronotype with the Morningness–Eveningness Questionnaire (MEQ) in 688 (<i>n</i> = 138/221/329) ESTER participants. The MEQ consists of 19 questions, which estimates the respondent to be of a “morning”, “evening,” or “intermediate” chronotype, based on the Morningness–Eveningness Score (MES). We analyzed the data from the actigraphs and the MES with three linear regression models, and analyzed distribution of the chronotype class with Pearson χ2. There were no consistent differences across the study groups in sleep midpoint. As compared with those born at term, the mean differences in minutes:seconds and 95% confidence intervals for the sleep midpoint were: early preterm weekdays 11:47 (−8:34 to 32:08), early preterm weekend 4:14 (−19:45 to 28:13), late preterm weekdays −10:28 (−26:16 to 5:21), and late preterm weekend −1:29 (−20:36 to 17:37). There was no difference in sleep timing between VLBW-participants and controls either. The distribution of chronotype in the MEQ among all participants was 12.4% morningness, 65.4% intermediate, and 22.2% eveningness. The distribution of the subjective chronotype class did not differ between the three gestational age groups (<i>p</i> = 0.98). The linear regression models did not show any influence of gestational age group or VLBW status on the MES (all <i>p</i> &gt; 0.5). We found no consistent differences between adults born early or late preterm and those born at term in circadian preference. The earlier circadian preference previously observed in those born smallest is unlikely to extend across the whole range of preterm birth.
DOI: 10.6084/m9.figshare.5838486.v2
title: Premature birth and circadian preference in young adulthood: evidence from two birth cohorts

description: A preference for eveningness (being a “night owl”) and preterm birth (&lt;37 weeks of gestation) are associated with similar adversities, such as elevated blood pressure, impaired glucose regulation, poorer physical fitness, and lower mood. Yet, it remains unclear if and how preterm birth is associated with circadian preference. The aim of this study was to assess this association across the whole gestation range, using both objective and subjective measurements of circadian preference. Circadian preference was measured among 594 young adults (mean age 24.3 years, SD 1.3) from two cohorts: the ESTER study and the Arvo Ylppö Longitudinal Study. We compared 83 participants born early preterm (&lt;34 weeks) and 165 late preterm (34 to &lt;37 weeks) with those born at term (≥37 weeks, <i>n</i> = 346). We also compared very low birth weight (VLBW, &lt;1500 g) participants with term-born controls. We obtained objective sleep data with actigraphs that were worn for a mean period of 6.8 (SD 1.4) nights. Our primary outcome was sleep midpoint during weekdays and weekend. The sleep midpoint is the half-way time between falling asleep and waking up, and it represents sleep timing. We also investigated subjective chronotype with the Morningness–Eveningness Questionnaire (MEQ) in 688 (<i>n</i> = 138/221/329) ESTER participants. The MEQ consists of 19 questions, which estimates the respondent to be of a “morning”, “evening,” or “intermediate” chronotype, based on the Morningness–Eveningness Score (MES). We analyzed the data from the actigraphs and the MES with three linear regression models, and analyzed distribution of the chronotype class with Pearson χ2. There were no consistent differences across the study groups in sleep midpoint. As compared with those born at term, the mean differences in minutes:seconds and 95% confidence intervals for the sleep midpoint were: early preterm weekdays 11:47 (−8:34 to 32:08), early preterm weekend 4:14 (−19:45 to 28:13), late preterm weekdays −10:28 (−26:16 to 5:21), and late preterm weekend −1:29 (−20:36 to 17:37). There was no difference in sleep timing between VLBW-participants and controls either. The distribution of chronotype in the MEQ among all participants was 12.4% morningness, 65.4% intermediate, and 22.2% eveningness. The distribution of the subjective chronotype class did not differ between the three gestational age groups (<i>p</i> = 0.98). The linear regression models did not show any influence of gestational age group or VLBW status on the MES (all <i>p</i> &gt; 0.5). We found no consistent differences between adults born early or late preterm and those born at term in circadian preference. The earlier circadian preference previously observed in those born smallest is unlikely to extend across the whole range of preterm birth.
DOI: 10.6084/m9.figshare.5838486.v1
title: Premature birth and circadian preference in young adulthood: evidence from two birth cohorts

description: A preference for eveningness (being a “night owl”) and preterm birth (&lt;37 weeks of gestation) are associated with similar adversities, such as elevated blood pressure, impaired glucose regulation, poorer physical fitness, and lower mood. Yet, it remains unclear if and how preterm birth is associated with circadian preference. The aim of this study was to assess this association across the whole gestation range, using both objective and subjective measurements of circadian preference. Circadian preference was measured among 594 young adults (mean age 24.3 years, SD 1.3) from two cohorts: the ESTER study and the Arvo Ylppö Longitudinal Study. We compared 83 participants born early preterm (&lt;34 weeks) and 165 late preterm (34 to &lt;37 weeks) with those born at term (≥37 weeks, <i>n</i> = 346). We also compared very low birth weight (VLBW, &lt;1500 g) participants with term-born controls. We obtained objective sleep data with actigraphs that were worn for a mean period of 6.8 (SD 1.4) nights. Our primary outcome was sleep midpoint during weekdays and weekend. The sleep midpoint is the half-way time between falling asleep and waking up, and it represents sleep timing. We also investigated subjective chronotype with the Morningness–Eveningness Questionnaire (MEQ) in 688 (<i>n</i> = 138/221/329) ESTER participants. The MEQ consists of 19 questions, which estimates the respondent to be of a “morning”, “evening,” or “intermediate” chronotype, based on the Morningness–Eveningness Score (MES). We analyzed the data from the actigraphs and the MES with three linear regression models, and analyzed distribution of the chronotype class with Pearson χ2. There were no consistent differences across the study groups in sleep midpoint. As compared with those born at term, the mean differences in minutes:seconds and 95% confidence intervals for the sleep midpoint were: early preterm weekdays 11:47 (−8:34 to 32:08), early preterm weekend 4:14 (−19:45 to 28:13), late preterm weekdays −10:28 (−26:16 to 5:21), and late preterm weekend −1:29 (−20:36 to 17:37). There was no difference in sleep timing between VLBW-participants and controls either. The distribution of chronotype in the MEQ among all participants was 12.4% morningness, 65.4% intermediate, and 22.2% eveningness. The distribution of the subjective chronotype class did not differ between the three gestational age groups (<i>p</i> = 0.98). The linear regression models did not show any influence of gestational age group or VLBW status on the MES (all <i>p</i> &gt; 0.5). We found no consistent differences between adults born early or late preterm and those born at term in circadian preference. The earlier circadian preference previously observed in those born smallest is unlikely to extend across the whole range of preterm birth.
DOI: 10.6084/m9.figshare.5838768
title: A Bioinformatics-Based Strategy Identifies Colon-Specific miR-192/215-5p as Tumor Suppressors and Links Crohn’s Disease and Colorectal Cancer by Targeting Metabolic Pathways

description: <i>Background/Aims:</i> MicroRNAs
have emerged as key regulators involved in a variety of biological
processes. Previous studies have demonstrated that miR-192/215 participated in
progression of Crohn’s disease and colorectal cancer. However, their concrete relationships
and regulation networks in diseases remain unclear. <i>Methods:</i> Here we employed bioinformatics methods to expound
miR-192/215-5p macrocontrol regulatory networks shared by two diseases. For
data mining and figure generation, several miRNA prediction tools, Human miRNA
tissue atlas, FunRich, miRcancer, MalaCards, STRING, GEPIA, cBioPortal, GEO
databases, Pathvisio, Graphpad Prism 6 software, <i>et al.</i> are extensively applied. <i>Results: </i>miR-192/215-5p were specially
distributed in colon tissues and enriched biological pathways were
closely associated with human cancers. Emerging role of miR-192/215-5p and
their common pathways in Crohn’s disease and colorectal cancer was also
analyzed. <i>Conclusion:
</i>Based on results derived from multiple approaches, we
identified the biological functions of miR-192/215-5p as a tumor suppressor and
link Crohn’s disease and colorectal cancer by targeting triglyceride synthesis
and extracellular matrix remodeling pathways.
DOI: 10.6084/m9.figshare.5840028
title: Additional file 2 of Modeling the therapeutic efficacy of NFÎşB synthetic decoy oligodeoxynucleotides (ODNs)

description: DNA sequences used in the Protein-Binding Microarray (PBM) experiments, and PBM-derived z-scores for all described experiments. (XLSX 1509 kb)
DOI: 10.6084/m9.figshare.5840028.v1
title: Additional file 2 of Modeling the therapeutic efficacy of NFÎşB synthetic decoy oligodeoxynucleotides (ODNs)

description: DNA sequences used in the Protein-Binding Microarray (PBM) experiments, and PBM-derived z-scores for all described experiments. (XLSX 1509 kb)
DOI: 10.6084/m9.figshare.5840034
title: Additional file 2. of Genetic engineering of Escherichia coli to improve L-phenylalanine production

description: Online data of the fermentation of strain Xllp01 and Xllp21. (XLSX 431Â kb)