cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3528035
title: Appendix B. The diatom genera encountered in this study.

description: The diatom genera encountered in this study.
DOI: 10.6084/m9.figshare.3528035.v1
title: Appendix B. The diatom genera encountered in this study.

description: The diatom genera encountered in this study.
DOI: 10.6084/m9.figshare.3528032
title: Appendix C. A figure showing the species–genus richness relationships.

description: A figure showing the species–genus richness relationships.
DOI: 10.6084/m9.figshare.3528032.v1
title: Appendix C. A figure showing the species–genus richness relationships.

description: A figure showing the species–genus richness relationships.
DOI: 10.6084/m9.figshare.3528029
title: Appendix D. A figure showing the interhemispheric asymmetry in local intercalibrated genus richness in 1855 freshwater lakes.

description: A figure showing the interhemispheric asymmetry in local intercalibrated genus richness in 1855 freshwater lakes.
DOI: 10.6084/m9.figshare.3528029.v1
title: Appendix D. A figure showing the interhemispheric asymmetry in local intercalibrated genus richness in 1855 freshwater lakes.

description: A figure showing the interhemispheric asymmetry in local intercalibrated genus richness in 1855 freshwater lakes.
DOI: 10.6084/m9.figshare.3528026
title: Appendix E. Results of the variation partitioning analyses.

description: Results of the variation partitioning analyses.
DOI: 10.6084/m9.figshare.3528026.v1
title: Appendix E. Results of the variation partitioning analyses.

description: Results of the variation partitioning analyses.
DOI: 10.6084/m9.figshare.3528023
title: Appendix F. Figures showing the response of local diatom richness to the available chemical, morphological, and historical variables.

description: Figures showing the response of local diatom richness to the available chemical, morphological, and historical variables.
DOI: 10.6084/m9.figshare.3528023.v1
title: Appendix F. Figures showing the response of local diatom richness to the available chemical, morphological, and historical variables.

description: Figures showing the response of local diatom richness to the available chemical, morphological, and historical variables.
DOI: 10.6084/m9.figshare.3528020
title: Appendix A. A table listing 332 human infectious agents, their taxonomic grouping, and reservoir and vector hosts as determined by the Global Infectious Disease and Epidemiology Network Database (GIDEON).

description: A table listing 332 human infectious agents, their taxonomic grouping, and reservoir and vector hosts as determined by the Global Infectious Disease and Epidemiology Network Database (GIDEON).
DOI: 10.6084/m9.figshare.3528020.v1
title: Appendix A. A table listing 332 human infectious agents, their taxonomic grouping, and reservoir and vector hosts as determined by the Global Infectious Disease and Epidemiology Network Database (GIDEON).

description: A table listing 332 human infectious agents, their taxonomic grouping, and reservoir and vector hosts as determined by the Global Infectious Disease and Epidemiology Network Database (GIDEON).
DOI: 10.6084/m9.figshare.3528017
title: Supplement 1. OpenBUGS code for statistical models.

description: File List openbugscode.txt Description The file openbugscode.txt contains the code for the models used for re-analysis of Hawkins et al. MTE data – and was used to analyze the 23 linear data sets (by the authors' criteria) only. The response variable lns[] is log species richness, and the explanatory variable mtetemp [] is temperature transformed according to the MTE formulation explained in Hawkins et al. The variable group [] indexes the data set. The parameterization of the multivariate normal priors on the regression parameters (alpha [,]) follows suggestions in Peter Congdon (2003), Applied Bayesian Modelling, Wiley and Sons: Chichester. To obtain the results reported in the paper, the model was run for a burn-in period of 10,000 samples followed by a run of 10,000. Three chains were run, starting with different initial values, and the samples were thinned by 10 to reduce autocorrelation. Convergence was checked using the BGR disgnostic in OpenBUGS (v. 2.2.0, Feb. 2006).
DOI: 10.6084/m9.figshare.3528017.v1
title: Supplement 1. OpenBUGS code for statistical models.

description: File List openbugscode.txt Description The file openbugscode.txt contains the code for the models used for re-analysis of Hawkins et al. MTE data – and was used to analyze the 23 linear data sets (by the authors' criteria) only. The response variable lns[] is log species richness, and the explanatory variable mtetemp [] is temperature transformed according to the MTE formulation explained in Hawkins et al. The variable group [] indexes the data set. The parameterization of the multivariate normal priors on the regression parameters (alpha [,]) follows suggestions in Peter Congdon (2003), Applied Bayesian Modelling, Wiley and Sons: Chichester. To obtain the results reported in the paper, the model was run for a burn-in period of 10,000 samples followed by a run of 10,000. Three chains were run, starting with different initial values, and the samples were thinned by 10 to reduce autocorrelation. Convergence was checked using the BGR disgnostic in OpenBUGS (v. 2.2.0, Feb. 2006).
DOI: 10.6084/m9.figshare.3528014
title: Appendix A. Methods for data sets not available in the literature.

description: Methods for data sets not available in the literature.
DOI: 10.6084/m9.figshare.3528014.v1
title: Appendix A. Methods for data sets not available in the literature.

description: Methods for data sets not available in the literature.
DOI: 10.6084/m9.figshare.3528011
title: Supplement 1. Summary regression statistics and sources for all data sets.

description: File List supplement1.txt Description Raw sample sizes (<i>n</i>) and standard errors (SE), geographically effective degrees of freedom (v*), adjusted standard errors (SE*), and adjusted 95% CI of OLS and RMA slopes for all data sets. Also provided is the information from Tables 1 and 2 to facilitate evaluation of each case, and the sources of the richness data (see Appendix A for full references). Data with linear relationships between rescaled temperature and ln richness are listed first, followed by nonlinear data divided into values to the left of their breakpoints (Cool) and to the right of their breakpoints (Warm) (see Table 2). North American reptiles, listed last, could not be analyzed with either linear or split-line regression.
DOI: 10.6084/m9.figshare.3528011.v1
title: Supplement 1. Summary regression statistics and sources for all data sets.

description: File List supplement1.txt Description Raw sample sizes (<i>n</i>) and standard errors (SE), geographically effective degrees of freedom (v*), adjusted standard errors (SE*), and adjusted 95% CI of OLS and RMA slopes for all data sets. Also provided is the information from Tables 1 and 2 to facilitate evaluation of each case, and the sources of the richness data (see Appendix A for full references). Data with linear relationships between rescaled temperature and ln richness are listed first, followed by nonlinear data divided into values to the left of their breakpoints (Cool) and to the right of their breakpoints (Warm) (see Table 2). North American reptiles, listed last, could not be analyzed with either linear or split-line regression.
DOI: 10.6084/m9.figshare.3528008
title: Appendix A. Mathematical model of group movement and navigation.

description: Mathematical model of group movement and navigation.
DOI: 10.6084/m9.figshare.3528008.v1
title: Appendix A. Mathematical model of group movement and navigation.

description: Mathematical model of group movement and navigation.
DOI: 10.6084/m9.figshare.3528005
title: Appendix A. Table of AICs for all models considered.

description: Table of AICs for all models considered.
DOI: 10.6084/m9.figshare.3528005.v1
title: Appendix A. Table of AICs for all models considered.

description: Table of AICs for all models considered.
DOI: 10.6084/m9.figshare.3528002
title: Supplement 1. Software applications used to calculate the nestedness metrics of the present paper.

description: File List matrix.zip Contains files: MatrixManual.pdf<br> Mat.exe<br> Matrix.exe<br> Mat.f90<br> Matrix.f90 nestedness.zip Contains files: NestednessManual.pdf<br> Nestedness.exe<br> Nestedness.f90 Description The files contain software applications and descriptions (pdf files) of the nestedness and the matrix programs. Source code is written in MS Fortran 90.
DOI: 10.6084/m9.figshare.3528002.v1
title: Supplement 1. Software applications used to calculate the nestedness metrics of the present paper.

description: File List matrix.zip Contains files: MatrixManual.pdf<br> Mat.exe<br> Matrix.exe<br> Mat.f90<br> Matrix.f90 nestedness.zip Contains files: NestednessManual.pdf<br> Nestedness.exe<br> Nestedness.f90 Description The files contain software applications and descriptions (pdf files) of the nestedness and the matrix programs. Source code is written in MS Fortran 90.
DOI: 10.6084/m9.figshare.3527999
title: Appendix A. Development of an MCMC algorithm by Gibbs sampling for a simple model.

description: Development of an MCMC algorithm by Gibbs sampling for a simple model.
DOI: 10.6084/m9.figshare.3527996
title: Supplement 1. WinBUGS model specification for European Crossbill and Cerulean Warbler examples in the paper.

description: File List crossbill.txt -- Crossbill example cerulean.txt -- Cerulean Warbler example<br> Description The file crossbill.txt contains the WinBUGS model specification for the Crossbill example in which the model parameters (detection probability, survival, and colonization) are all year-specific. The following variables in the model specification are data that must be supplied by the user: y[i,j,t] are the observations, referenced by a three-dimensional array with indices i (site), j (rep), and t (year). nyear : number of years of data (or primary periods) nsite : number of sites or sample locations nrep : number of replicates per secondary period (within years) The interested reader can consult the WinBUGS manual for formatting data for input into WinBUGS. The authors used the R library R2WinBUGS. <br> <br> The file cerulean.txt contains the WinBUGS model specification for the Cerulean Warbler example in the paper. In this example, heterogeneity in model parameters among sites was allowed, in addition to yearly variation. The data structure is slightly different than in the previous example as they are the number of detections per sample unit per year (i.e., summed over all nrep secondary samples). x[i,t] are the observations, referenced by a two-dimensional matrix with indices i (site), and t (year). The model assumes that these are binomial counts based on a sample size of 50 (the number of replicate samples, or sub-samples along the BBS route) nyear : number of years of data (or primary periods) nsite : number of sites or sample locations
DOI: 10.6084/m9.figshare.3527993
title: Appendix A. A table summarizing the associations and findings for all 254 avian species considered in the analysis.

description: A table summarizing the associations and findings for all 254 avian species considered in the analysis.
DOI: 10.6084/m9.figshare.3527990
title: Appendix A. List of Nearctic-Neotropical migrant land bird species detected during transect surveys.

description: List of Nearctic-Neotropical migrant land bird species detected during transect surveys.
DOI: 10.6084/m9.figshare.3527987
title: Appendix B. Partial regression plots of only those explanatory variable exhibiting effects (“effects” model) on mean and coefficient of variation of Neotropical migrant density at transects during spring.

description: Partial regression plots of only those explanatory variable exhibiting effects (“effects” model) on mean and coefficient of variation of Neotropical migrant density at transects during spring.
DOI: 10.6084/m9.figshare.3527984
title: Appendix C. Relative variable importance (effect size) of eight variables in explaining mean density by season and species.

description: Relative variable importance (effect size) of eight variables in explaining mean density by season and species.
DOI: 10.6084/m9.figshare.3527981
title: Appendix D. Relative variable importance (effect size) of eight variables in explaining coefficient of variation of densities by season and species.

description: Relative variable importance (effect size) of eight variables in explaining coefficient of variation of densities by season and species.
DOI: 10.6084/m9.figshare.3527981.v1
title: Appendix D. Relative variable importance (effect size) of eight variables in explaining coefficient of variation of densities by season and species.

description: Relative variable importance (effect size) of eight variables in explaining coefficient of variation of densities by season and species.
DOI: 10.6084/m9.figshare.3527978
title: Appendix E. Partial regression plots of only those explanatory variable exhibiting effects (“effects” model) on mean and coefficient of variation of insectivorous Neotropical migrant density at transects during autumn.

description: Partial regression plots of only those explanatory variable exhibiting effects (“effects” model) on mean and coefficient of variation of insectivorous Neotropical migrant density at transects during autumn.
DOI: 10.6084/m9.figshare.3527978.v1
title: Appendix E. Partial regression plots of only those explanatory variable exhibiting effects (“effects” model) on mean and coefficient of variation of insectivorous Neotropical migrant density at transects during autumn.

description: Partial regression plots of only those explanatory variable exhibiting effects (“effects” model) on mean and coefficient of variation of insectivorous Neotropical migrant density at transects during autumn.
DOI: 10.6084/m9.figshare.3527975
title: Appendix F. Partial regression plots of only those explanatory variable exhibiting effects (“effects” model) on mean and coefficient of variation of frugivorous Neotropical migrant density at transects during autumn.

description: Partial regression plots of only those explanatory variable exhibiting effects (“effects” model) on mean and coefficient of variation of frugivorous Neotropical migrant density at transects during autumn.
DOI: 10.6084/m9.figshare.3527975.v1
title: Appendix F. Partial regression plots of only those explanatory variable exhibiting effects (“effects” model) on mean and coefficient of variation of frugivorous Neotropical migrant density at transects during autumn.

description: Partial regression plots of only those explanatory variable exhibiting effects (“effects” model) on mean and coefficient of variation of frugivorous Neotropical migrant density at transects during autumn.
DOI: 10.6084/m9.figshare.3527972
title: Appendix A. An explanation of species pool supertree construction.

description: An explanation of species pool supertree construction.
DOI: 10.6084/m9.figshare.3527969
title: Appendix B. Analysis of the influence of number of taxa in a quadrat vs. significance.

description: Analysis of the influence of number of taxa in a quadrat vs. significance.
DOI: 10.6084/m9.figshare.3527972.v1
title: Appendix A. An explanation of species pool supertree construction.

description: An explanation of species pool supertree construction.
DOI: 10.6084/m9.figshare.3527969.v1
title: Appendix B. Analysis of the influence of number of taxa in a quadrat vs. significance.

description: Analysis of the influence of number of taxa in a quadrat vs. significance.
DOI: 10.6084/m9.figshare.3527966
title: Appendix C. A table showing forest types analyzed and quadrat sample sizes.

description: A table showing forest types analyzed and quadrat sample sizes.
DOI: 10.6084/m9.figshare.3527966.v1
title: Appendix C. A table showing forest types analyzed and quadrat sample sizes.

description: A table showing forest types analyzed and quadrat sample sizes.
DOI: 10.6084/m9.figshare.3527963
title: Appendix D. A figure showing the distribution of net relatedness index and nearest taxon index in 25-m2 quadrats across organismal size scales in each forest dynamics plot.

description: A figure showing the distribution of net relatedness index and nearest taxon index in 25-m2 quadrats across organismal size scales in each forest dynamics plot.
DOI: 10.6084/m9.figshare.3527963.v1
title: Appendix D. A figure showing the distribution of net relatedness index and nearest taxon index in 25-m2 quadrats across organismal size scales in each forest dynamics plot.

description: A figure showing the distribution of net relatedness index and nearest taxon index in 25-m2 quadrats across organismal size scales in each forest dynamics plot.
DOI: 10.6084/m9.figshare.3527960
title: Appendix E. A figure showing the median deviation of mean minimum phylogenetic distance (MMPD) from expected randomly generated MMPD (rndMMPD) for Cocoli, Sherman, Luquillo, Barro Colorado Island (BCI), and San Emilio at the three smallest quadrat sizes.

description: A figure showing the median deviation of mean minimum phylogenetic distance (MMPD) from expected randomly generated MMPD (rndMMPD) for Cocoli, Sherman, Luquillo, Barro Colorado Island (BCI), and San Emilio at the three smallest quadrat sizes.
DOI: 10.6084/m9.figshare.3527960.v1
title: Appendix E. A figure showing the median deviation of mean minimum phylogenetic distance (MMPD) from expected randomly generated MMPD (rndMMPD) for Cocoli, Sherman, Luquillo, Barro Colorado Island (BCI), and San Emilio at the three smallest quadrat sizes.

description: A figure showing the median deviation of mean minimum phylogenetic distance (MMPD) from expected randomly generated MMPD (rndMMPD) for Cocoli, Sherman, Luquillo, Barro Colorado Island (BCI), and San Emilio at the three smallest quadrat sizes.
DOI: 10.6084/m9.figshare.3527957
title: Appendix F. A figure showing the median deviation of MMPD from expected rndMMPD for all size classes for BCI, Sherman, Luquillo, Cocoli, and San Emilio at the three smallest quadrat sizes.

description: A figure showing the median deviation of MMPD from expected rndMMPD for all size classes for BCI, Sherman, Luquillo, Cocoli, and San Emilio at the three smallest quadrat sizes.
DOI: 10.6084/m9.figshare.3527957.v1
title: Appendix F. A figure showing the median deviation of MMPD from expected rndMMPD for all size classes for BCI, Sherman, Luquillo, Cocoli, and San Emilio at the three smallest quadrat sizes.

description: A figure showing the median deviation of MMPD from expected rndMMPD for all size classes for BCI, Sherman, Luquillo, Cocoli, and San Emilio at the three smallest quadrat sizes.
DOI: 10.6084/m9.figshare.3527954
title: Appendix A. A table presenting capsule set data for Pterygodium catholicum collected over four years in 27 conservation areas that varied in size, the matrix in which they were located, soil type, and the postfire successional stage of the vegetation.

description: A table presenting capsule set data for Pterygodium catholicum collected over four years in 27 conservation areas that varied in size, the matrix in which they were located, soil type, and the postfire successional stage of the vegetation.
DOI: 10.6084/m9.figshare.3527954.v1
title: Appendix A. A table presenting capsule set data for Pterygodium catholicum collected over four years in 27 conservation areas that varied in size, the matrix in which they were located, soil type, and the postfire successional stage of the vegetation.

description: A table presenting capsule set data for Pterygodium catholicum collected over four years in 27 conservation areas that varied in size, the matrix in which they were located, soil type, and the postfire successional stage of the vegetation.
DOI: 10.6084/m9.figshare.3527951
title: Appendix B. A table listing the density of Pterygodium catholicum ramets observed across a range of sites.

description: A table listing the density of Pterygodium catholicum ramets observed across a range of sites.
DOI: 10.6084/m9.figshare.3527951.v1
title: Appendix B. A table listing the density of Pterygodium catholicum ramets observed across a range of sites.

description: A table listing the density of Pterygodium catholicum ramets observed across a range of sites.
DOI: 10.6084/m9.figshare.3527948
title: Appendix A. Temporal stability of geographic ranges assessed by analysis of herbarium records of Camissonia cheiranthifolia and Abronia umbellata.

description: Temporal stability of geographic ranges assessed by analysis of herbarium records of Camissonia cheiranthifolia and Abronia umbellata.
DOI: 10.6084/m9.figshare.3527945
title: Appendix B. Criteria used to determine suitability of habitat for Camissonia cheiranthifolia and Abronia umbellata within each species' range boundaries.

description: Criteria used to determine suitability of habitat for Camissonia cheiranthifolia and Abronia umbellata within each species' range boundaries.
DOI: 10.6084/m9.figshare.3527945.v1
title: Appendix B. Criteria used to determine suitability of habitat for Camissonia cheiranthifolia and Abronia umbellata within each species' range boundaries.

description: Criteria used to determine suitability of habitat for Camissonia cheiranthifolia and Abronia umbellata within each species' range boundaries.
DOI: 10.6084/m9.figshare.3527942
title: Appendix C. Geographic locality of sites occupied by Camissonia cheiranthifolia and Abronia umbellata across the species’ geographic ranges.

description: Geographic locality of sites occupied by Camissonia cheiranthifolia and Abronia umbellata across the species’ geographic ranges.
DOI: 10.6084/m9.figshare.3527942.v1
title: Appendix C. Geographic locality of sites occupied by Camissonia cheiranthifolia and Abronia umbellata across the species’ geographic ranges.

description: Geographic locality of sites occupied by Camissonia cheiranthifolia and Abronia umbellata across the species’ geographic ranges.
DOI: 10.6084/m9.figshare.3527939
title: Appendix D. Implementation of constraint space analysis to test the abundant center model.

description: Implementation of constraint space analysis to test the abundant center model.
DOI: 10.6084/m9.figshare.3527939.v1
title: Appendix D. Implementation of constraint space analysis to test the abundant center model.

description: Implementation of constraint space analysis to test the abundant center model.
DOI: 10.6084/m9.figshare.3527936
title: Appendix A. A table showing the occurrence of the species at each study site.

description: A table showing the occurrence of the species at each study site.
DOI: 10.6084/m9.figshare.3527933
title: Appendix B. A table showing the values of the parameters used for describing environmental conditions of the study sites.

description: A table showing the values of the parameters used for describing environmental conditions of the study sites.
DOI: 10.6084/m9.figshare.3527930
title: Appendix A. Comparison of density-dependent models to describe mortality.

description: Comparison of density-dependent models to describe mortality.
DOI: 10.6084/m9.figshare.3527930.v1
title: Appendix A. Comparison of density-dependent models to describe mortality.

description: Comparison of density-dependent models to describe mortality.
DOI: 10.6084/m9.figshare.3527927
title: Appendix B. Methods for calculating density-independent and density-dependent mortality in the Ricker equation.

description: Methods for calculating density-independent and density-dependent mortality in the Ricker equation.
DOI: 10.6084/m9.figshare.3527927.v1
title: Appendix B. Methods for calculating density-independent and density-dependent mortality in the Ricker equation.

description: Methods for calculating density-independent and density-dependent mortality in the Ricker equation.
DOI: 10.6084/m9.figshare.3527924
title: Appendix C. Limitation functions for density-independent mortality, density-dependent mortality, and supply of recruits.

description: Limitation functions for density-independent mortality, density-dependent mortality, and supply of recruits.