cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3544868
title: Impact of fibroblast growth factor 21 on the secretome of human perivascular preadipocytes and adipocytes: a targeted proteomics approach

description: <i>Context</i>: Perivascular adipose tissue (PVAT) is suggested to impact on vascular cells via humoral factors, possibly contributing to endothelial dysfunction and atherosclerosis. <i>Objective</i>: To address whether the hepatokine fibroblast growth factor (FGF) 21 affects the PVAT secretome. <i>Methods</i>: Human perivascular (pre)adipocytes were subjected to targeted proteomics and whole-genome gene expression analysis. <i>Results</i>: Preadipocytes, as compared to adipocytes, secreted higher amounts of inflammatory cytokines and chemokines. Adipocytes released higher amounts of adipokines [e.g. adipisin, visfatin, dipeptidyl peptidase 4 (DPP4), leptin; <i>p</i> p p p Conclusion: The hepatokine FGF-21 exerts secretome-modulating effects in human perivascular (pre)adipocytes establishing a new liver-PVAT-blood vessel axis that possibly contributes to vascular inflammation and atherosclerosis.
DOI: 10.6084/m9.figshare.3544868.v1
title: Impact of fibroblast growth factor 21 on the secretome of human perivascular preadipocytes and adipocytes: a targeted proteomics approach

description: <i>Context</i>: Perivascular adipose tissue (PVAT) is suggested to impact on vascular cells via humoral factors, possibly contributing to endothelial dysfunction and atherosclerosis. <i>Objective</i>: To address whether the hepatokine fibroblast growth factor (FGF) 21 affects the PVAT secretome. <i>Methods</i>: Human perivascular (pre)adipocytes were subjected to targeted proteomics and whole-genome gene expression analysis. <i>Results</i>: Preadipocytes, as compared to adipocytes, secreted higher amounts of inflammatory cytokines and chemokines. Adipocytes released higher amounts of adipokines [e.g. adipisin, visfatin, dipeptidyl peptidase 4 (DPP4), leptin; <i>p</i> p p p Conclusion: The hepatokine FGF-21 exerts secretome-modulating effects in human perivascular (pre)adipocytes establishing a new liver-PVAT-blood vessel axis that possibly contributes to vascular inflammation and atherosclerosis.
DOI: 10.6084/m9.figshare.3544769.v1
title: Encapsulation

description: Encapsulation response by morph and treatment
DOI: 10.6084/m9.figshare.3544769.v2
title: Encapsulation

description: Encapsulation response by morph and treatment
DOI: 10.6084/m9.figshare.3544706
title: Appendix D. Studies of flower reproductive success vs. number of pollinator visits or exposure time.

description: Studies of flower reproductive success vs. number of pollinator visits or exposure time.
DOI: 10.6084/m9.figshare.3544706.v1
title: Appendix D. Studies of flower reproductive success vs. number of pollinator visits or exposure time.

description: Studies of flower reproductive success vs. number of pollinator visits or exposure time.
DOI: 10.6084/m9.figshare.3544703
title: Appendix A. A figure showing how 10 jars of host clones were combined to create each experimental polyculture and monoculture.

description: A figure showing how 10 jars of host clones were combined to create each experimental polyculture and monoculture.
DOI: 10.6084/m9.figshare.3544703.v1
title: Appendix A. A figure showing how 10 jars of host clones were combined to create each experimental polyculture and monoculture.

description: A figure showing how 10 jars of host clones were combined to create each experimental polyculture and monoculture.
DOI: 10.6084/m9.figshare.3544700
title: Appendix B. A figure showing predicted mean parasite prevalence and its variance across replicates in experimental host populations in relation to host and parasite diversity.

description: A figure showing predicted mean parasite prevalence and its variance across replicates in experimental host populations in relation to host and parasite diversity.
DOI: 10.6084/m9.figshare.3544700.v1
title: Appendix B. A figure showing predicted mean parasite prevalence and its variance across replicates in experimental host populations in relation to host and parasite diversity.

description: A figure showing predicted mean parasite prevalence and its variance across replicates in experimental host populations in relation to host and parasite diversity.
DOI: 10.6084/m9.figshare.3544697
title: Appendix A. Species list of invaders.

description: Species list of invaders.
DOI: 10.6084/m9.figshare.3544697.v1
title: Appendix A. Species list of invaders.

description: Species list of invaders.
DOI: 10.6084/m9.figshare.3544694
title: Appendix B. Results from separate MANOVA analyses examining the main effects of Baccharis pilularis architectural morphology, gender, and transect location on plant colonization and the understory environment in a decade-old common garden.

description: Results from separate MANOVA analyses examining the main effects of Baccharis pilularis architectural morphology, gender, and transect location on plant colonization and the understory environment in a decade-old common garden.
DOI: 10.6084/m9.figshare.3544694.v1
title: Appendix B. Results from separate MANOVA analyses examining the main effects of Baccharis pilularis architectural morphology, gender, and transect location on plant colonization and the understory environment in a decade-old common garden.

description: Results from separate MANOVA analyses examining the main effects of Baccharis pilularis architectural morphology, gender, and transect location on plant colonization and the understory environment in a decade-old common garden.
DOI: 10.6084/m9.figshare.3544691
title: Appendix C. Results from separate ANOVA analyses examining the main effects of Baccharis pilularis architectural morphology, gender, and transect location on individual plant species cover and biomass in a decade-old common garden.

description: Results from separate ANOVA analyses examining the main effects of Baccharis pilularis architectural morphology, gender, and transect location on individual plant species cover and biomass in a decade-old common garden.
DOI: 10.6084/m9.figshare.3544691.v1
title: Appendix C. Results from separate ANOVA analyses examining the main effects of Baccharis pilularis architectural morphology, gender, and transect location on individual plant species cover and biomass in a decade-old common garden.

description: Results from separate ANOVA analyses examining the main effects of Baccharis pilularis architectural morphology, gender, and transect location on individual plant species cover and biomass in a decade-old common garden.
DOI: 10.6084/m9.figshare.3544688
title: Appendix D. Results of stepwise multiple regressions examining the effects of Baccharis pilularis understory variables on total colonizer richness, cover, and biomass.

description: Results of stepwise multiple regressions examining the effects of Baccharis pilularis understory variables on total colonizer richness, cover, and biomass.
DOI: 10.6084/m9.figshare.3544688.v1
title: Appendix D. Results of stepwise multiple regressions examining the effects of Baccharis pilularis understory variables on total colonizer richness, cover, and biomass.

description: Results of stepwise multiple regressions examining the effects of Baccharis pilularis understory variables on total colonizer richness, cover, and biomass.
DOI: 10.6084/m9.figshare.3544685
title: Appendix A. Literature review references: 498 litterbag studies.

description: Literature review references: 498 litterbag studies.
DOI: 10.6084/m9.figshare.3544685.v1
title: Appendix A. Literature review references: 498 litterbag studies.

description: Literature review references: 498 litterbag studies.
DOI: 10.6084/m9.figshare.3544682
title: Appendix B. Error structures of real and simulated litterbag decomposition data.

description: Error structures of real and simulated litterbag decomposition data.
DOI: 10.6084/m9.figshare.3544682.v1
title: Appendix B. Error structures of real and simulated litterbag decomposition data.

description: Error structures of real and simulated litterbag decomposition data.
DOI: 10.6084/m9.figshare.3544679
title: Appendix C. The effect of choosing an arbitrarily small value to replace zero values.

description: The effect of choosing an arbitrarily small value to replace zero values.
DOI: 10.6084/m9.figshare.3544679.v1
title: Appendix C. The effect of choosing an arbitrarily small value to replace zero values.

description: The effect of choosing an arbitrarily small value to replace zero values.
DOI: 10.6084/m9.figshare.3544676
title: Appendix D. The effect of additional increases in simulation length on estimates of decomposition rate, k.

description: The effect of additional increases in simulation length on estimates of decomposition rate, k.
DOI: 10.6084/m9.figshare.3544676.v1
title: Appendix D. The effect of additional increases in simulation length on estimates of decomposition rate, k.

description: The effect of additional increases in simulation length on estimates of decomposition rate, k.
DOI: 10.6084/m9.figshare.3544673
title: Appendix E. The effect of changing the standard deviation (SD) of the simulated data on single pool decomposition rate, k, estimates.

description: The effect of changing the standard deviation (SD) of the simulated data on single pool decomposition rate, k, estimates.
DOI: 10.6084/m9.figshare.3544673.v1
title: Appendix E. The effect of changing the standard deviation (SD) of the simulated data on single pool decomposition rate, k, estimates.

description: The effect of changing the standard deviation (SD) of the simulated data on single pool decomposition rate, k, estimates.
DOI: 10.6084/m9.figshare.3544670
title: Appendix F. The mean single-pool decomposition rate, k, values from linear regression of log-transformed real data and nonlinear regression of untransformed real data.

description: The mean single-pool decomposition rate, k, values from linear regression of log-transformed real data and nonlinear regression of untransformed real data.
DOI: 10.6084/m9.figshare.3544667
title: Appendix G. Model comparison for Hobbie (2008) litterbag decomposition data.

description: Model comparison for Hobbie (2008) litterbag decomposition data.
DOI: 10.6084/m9.figshare.3544667.v1
title: Appendix G. Model comparison for Hobbie (2008) litterbag decomposition data.

description: Model comparison for Hobbie (2008) litterbag decomposition data.
DOI: 10.6084/m9.figshare.3544664
title: Supplement 1. R code for performing nonlinear regression, with data (embedded in the R code), and a short description of the program.

description: File List nonlinear_regression.R Description The "nonlinear_regression.R" program provides a short example (with data) of one way to perform nonlinear regression in R (version 2.8.1). This example is not meant to provide extensive information on or training in programming in R, but rather is meant to serve as a starting point for performing nonlinear regression in R. R is a free statistical computing and graphics program that may be run on of UNIX platforms, Windows and MacOS. R may be downloaded here: http://www.r-project.org/.<br> <br> There are several good resources for learning how to program and perform extensive statistical analyses in R, including:<br> <br> Benjamin M. Bolker. Ecological Models and Data in R. Princeton University Press, 2008. ISBN 978-0-691-12522-0. [ http://www.zoology.ufl.edu/bolker/emdbook/ ]<br> <br> Other references are provided at http://www.r-project.org/ under “Documentation” and “Books”.
DOI: 10.6084/m9.figshare.3544664.v1
title: Supplement 1. R code for performing nonlinear regression, with data (embedded in the R code), and a short description of the program.

description: File List nonlinear_regression.R Description The "nonlinear_regression.R" program provides a short example (with data) of one way to perform nonlinear regression in R (version 2.8.1). This example is not meant to provide extensive information on or training in programming in R, but rather is meant to serve as a starting point for performing nonlinear regression in R. R is a free statistical computing and graphics program that may be run on of UNIX platforms, Windows and MacOS. R may be downloaded here: http://www.r-project.org/.<br> <br> There are several good resources for learning how to program and perform extensive statistical analyses in R, including:<br> <br> Benjamin M. Bolker. Ecological Models and Data in R. Princeton University Press, 2008. ISBN 978-0-691-12522-0. [ http://www.zoology.ufl.edu/bolker/emdbook/ ]<br> <br> Other references are provided at http://www.r-project.org/ under “Documentation” and “Books”.
DOI: 10.6084/m9.figshare.3544658
title: Appendix A. Estimates of model parameters used in stochastic population model.

description: Estimates of model parameters used in stochastic population model.
DOI: 10.6084/m9.figshare.3544658.v1
title: Appendix A. Estimates of model parameters used in stochastic population model.

description: Estimates of model parameters used in stochastic population model.
DOI: 10.6084/m9.figshare.3544655
title: Appendix A. Effect of Julian day, snow conditions, and wolf presence on six indices of nutrition in wintering elk.

description: Effect of Julian day, snow conditions, and wolf presence on six indices of nutrition in wintering elk.
DOI: 10.6084/m9.figshare.3544655.v1
title: Appendix A. Effect of Julian day, snow conditions, and wolf presence on six indices of nutrition in wintering elk.

description: Effect of Julian day, snow conditions, and wolf presence on six indices of nutrition in wintering elk.
DOI: 10.6084/m9.figshare.3544652
title: Appendix B. Parameter estimates from six general linear models considering the effect of Julian day, snow compaction and depth, and wolf presence at the time of sample collection on six nutritional indices in wintering bull elk.

description: Parameter estimates from six general linear models considering the effect of Julian day, snow compaction and depth, and wolf presence at the time of sample collection on six nutritional indices in wintering bull elk.
DOI: 10.6084/m9.figshare.3544652.v1
title: Appendix B. Parameter estimates from six general linear models considering the effect of Julian day, snow compaction and depth, and wolf presence at the time of sample collection on six nutritional indices in wintering bull elk.

description: Parameter estimates from six general linear models considering the effect of Julian day, snow compaction and depth, and wolf presence at the time of sample collection on six nutritional indices in wintering bull elk.
DOI: 10.6084/m9.figshare.3544649
title: Appendix A. A priori theoretical structural equation model with vertebrate species richness, vascular plant species richness, and four environmental variables.

description: A priori theoretical structural equation model with vertebrate species richness, vascular plant species richness, and four environmental variables.
DOI: 10.6084/m9.figshare.3544649.v1
title: Appendix A. A priori theoretical structural equation model with vertebrate species richness, vascular plant species richness, and four environmental variables.

description: A priori theoretical structural equation model with vertebrate species richness, vascular plant species richness, and four environmental variables.
DOI: 10.6084/m9.figshare.3544643
title: Appendix B. Results of principal component analysis of climatic variables based on correlation matrix and Pearson correlations between each climatic variable and each of the first two principal components.

description: Results of principal component analysis of climatic variables based on correlation matrix and Pearson correlations between each climatic variable and each of the first two principal components.
DOI: 10.6084/m9.figshare.3544643.v1
title: Appendix B. Results of principal component analysis of climatic variables based on correlation matrix and Pearson correlations between each climatic variable and each of the first two principal components.

description: Results of principal component analysis of climatic variables based on correlation matrix and Pearson correlations between each climatic variable and each of the first two principal components.
DOI: 10.6084/m9.figshare.3544640
title: Appendix C. Pearson correlation coefficients of species richness among mammals, birds, reptiles, amphibians, and vascular plants.

description: Pearson correlation coefficients of species richness among mammals, birds, reptiles, amphibians, and vascular plants.
DOI: 10.6084/m9.figshare.3544640.v1
title: Appendix C. Pearson correlation coefficients of species richness among mammals, birds, reptiles, amphibians, and vascular plants.

description: Pearson correlation coefficients of species richness among mammals, birds, reptiles, amphibians, and vascular plants.
DOI: 10.6084/m9.figshare.3544637
title: Appendix A. Results of chi-square tests for spatial dependence in species distributions within clusters.

description: Results of chi-square tests for spatial dependence in species distributions within clusters.
DOI: 10.6084/m9.figshare.3544637.v1
title: Appendix A. Results of chi-square tests for spatial dependence in species distributions within clusters.

description: Results of chi-square tests for spatial dependence in species distributions within clusters.
DOI: 10.6084/m9.figshare.3544634
title: Appendix B. A photograph of shrub clusters at study site.

description: A photograph of shrub clusters at study site.
DOI: 10.6084/m9.figshare.3544634.v1
title: Appendix B. A photograph of shrub clusters at study site.

description: A photograph of shrub clusters at study site.
DOI: 10.6084/m9.figshare.3544631
title: Appendix C. Contrasting explanations for the sequential appearance of species in expanding shrub clusters.

description: Contrasting explanations for the sequential appearance of species in expanding shrub clusters.
DOI: 10.6084/m9.figshare.3544631.v1
title: Appendix C. Contrasting explanations for the sequential appearance of species in expanding shrub clusters.

description: Contrasting explanations for the sequential appearance of species in expanding shrub clusters.
DOI: 10.6084/m9.figshare.3544628
title: Appendix D. Sample design for partitioning shrub clusters into nested, fixed-area sampling units to measure species occurrence.

description: Sample design for partitioning shrub clusters into nested, fixed-area sampling units to measure species occurrence.
DOI: 10.6084/m9.figshare.3544628.v1
title: Appendix D. Sample design for partitioning shrub clusters into nested, fixed-area sampling units to measure species occurrence.

description: Sample design for partitioning shrub clusters into nested, fixed-area sampling units to measure species occurrence.
DOI: 10.6084/m9.figshare.3544625
title: Appendix E. Goodness-of-fit G tests for the neutral and niche 1 models against observed patterns of species occurrence.

description: Goodness-of-fit G tests for the neutral and niche 1 models against observed patterns of species occurrence.
DOI: 10.6084/m9.figshare.3544625.v1
title: Appendix E. Goodness-of-fit G tests for the neutral and niche 1 models against observed patterns of species occurrence.

description: Goodness-of-fit G tests for the neutral and niche 1 models against observed patterns of species occurrence.
DOI: 10.6084/m9.figshare.3544622
title: Appendix F. Species turnover in shrub clusters over a 10-year period in relation to the initial area and initial shrub density of clusters.

description: Species turnover in shrub clusters over a 10-year period in relation to the initial area and initial shrub density of clusters.
DOI: 10.6084/m9.figshare.3544622.v1
title: Appendix F. Species turnover in shrub clusters over a 10-year period in relation to the initial area and initial shrub density of clusters.

description: Species turnover in shrub clusters over a 10-year period in relation to the initial area and initial shrub density of clusters.
DOI: 10.6084/m9.figshare.3544616
title: Appendix A. Indicator species for each vegetation type identified by cluster analysis of vegetation plots.

description: Indicator species for each vegetation type identified by cluster analysis of vegetation plots.
DOI: 10.6084/m9.figshare.3544616.v1
title: Appendix A. Indicator species for each vegetation type identified by cluster analysis of vegetation plots.

description: Indicator species for each vegetation type identified by cluster analysis of vegetation plots.
DOI: 10.6084/m9.figshare.3544613
title: Appendix B. Dominant species and environmental characteristics of the 9 vegetation types identified in the study.

description: Dominant species and environmental characteristics of the 9 vegetation types identified in the study.
DOI: 10.6084/m9.figshare.3544613.v1
title: Appendix B. Dominant species and environmental characteristics of the 9 vegetation types identified in the study.

description: Dominant species and environmental characteristics of the 9 vegetation types identified in the study.
DOI: 10.6084/m9.figshare.3544610
title: Appendix C. Mean species per plot and tree diversity estimates for each vegetation type in the study region and percentage of the observed collected for each rarefied diversity estimator.

description: Mean species per plot and tree diversity estimates for each vegetation type in the study region and percentage of the observed collected for each rarefied diversity estimator.
DOI: 10.6084/m9.figshare.3544610.v1
title: Appendix C. Mean species per plot and tree diversity estimates for each vegetation type in the study region and percentage of the observed collected for each rarefied diversity estimator.

description: Mean species per plot and tree diversity estimates for each vegetation type in the study region and percentage of the observed collected for each rarefied diversity estimator.
DOI: 10.6084/m9.figshare.3544607
title: Appendix A. Correlation matrix and standard deviations.

description: Correlation matrix and standard deviations.
DOI: 10.6084/m9.figshare.3544607.v1
title: Appendix A. Correlation matrix and standard deviations.

description: Correlation matrix and standard deviations.
DOI: 10.6084/m9.figshare.3544604
title: Appendix B. Regeneration niche of Ambrosia deltoidea.

description: Regeneration niche of Ambrosia deltoidea.
DOI: 10.6084/m9.figshare.3544604.v1
title: Appendix B. Regeneration niche of Ambrosia deltoidea.

description: Regeneration niche of Ambrosia deltoidea.
DOI: 10.6084/m9.figshare.3544601
title: Appendix A. Fire hazard function parameters.

description: Fire hazard function parameters.
DOI: 10.6084/m9.figshare.3544601.v1
title: Appendix A. Fire hazard function parameters.

description: Fire hazard function parameters.
DOI: 10.6084/m9.figshare.3544595
title: Appendix B. Sensitivity analyses of age-specific survival rates, fecundities, germination rates, seed bank survival, and standard deviations.

description: Sensitivity analyses of age-specific survival rates, fecundities, germination rates, seed bank survival, and standard deviations.
DOI: 10.6084/m9.figshare.3544595.v1
title: Appendix B. Sensitivity analyses of age-specific survival rates, fecundities, germination rates, seed bank survival, and standard deviations.

description: Sensitivity analyses of age-specific survival rates, fecundities, germination rates, seed bank survival, and standard deviations.
DOI: 10.6084/m9.figshare.3544592
title: Appendix A. Mean height, patterns of biomass allocation, leaf area, and light interception per species in each of the three successional stands as well the results Sidak pairwise comparisons between species within stands.

description: Mean height, patterns of biomass allocation, leaf area, and light interception per species in each of the three successional stands as well the results Sidak pairwise comparisons between species within stands.