cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3558321
title: Appendix A. Full explanation on the method used to generate niche-extrapolated communities from field soil moisture profiles and moisture niches.

description: Full explanation on the method used to generate niche-extrapolated communities from field soil moisture profiles and moisture niches.
DOI: 10.6084/m9.figshare.3558318
title: Appendix B. Supplementary results from bacterial community 16S rRNA sequencing analysis.

description: Supplementary results from bacterial community 16S rRNA sequencing analysis.
DOI: 10.6084/m9.figshare.3558315
title: Appendix A. Study site information including pictures, a figure of soil moisture decreases due to rainfall exclusion shelters, and a table of species richness values for each site.

description: Study site information including pictures, a figure of soil moisture decreases due to rainfall exclusion shelters, and a table of species richness values for each site.
DOI: 10.6084/m9.figshare.3558312
title: Appendix B. Statistical results of split-plot ANOVA for grass and forb ecosystem measurements in response to simulated grazing and precipitation treatments.

description: Statistical results of split-plot ANOVA for grass and forb ecosystem measurements in response to simulated grazing and precipitation treatments.
DOI: 10.6084/m9.figshare.3558309
title: Appendix A. List of species included and excluded from the analyses, sample sizes, and posterior summaries of estimated detection probabilities.

description: List of species included and excluded from the analyses, sample sizes, and posterior summaries of estimated detection probabilities.
DOI: 10.6084/m9.figshare.3558309.v1
title: Appendix A. List of species included and excluded from the analyses, sample sizes, and posterior summaries of estimated detection probabilities.

description: List of species included and excluded from the analyses, sample sizes, and posterior summaries of estimated detection probabilities.
DOI: 10.6084/m9.figshare.3558306
title: Appendix B. Details on the autoregressive component accounting for nonindependent temporal replicates when modeling detection probability.

description: Details on the autoregressive component accounting for nonindependent temporal replicates when modeling detection probability.
DOI: 10.6084/m9.figshare.3558306.v1
title: Appendix B. Details on the autoregressive component accounting for nonindependent temporal replicates when modeling detection probability.

description: Details on the autoregressive component accounting for nonindependent temporal replicates when modeling detection probability.
DOI: 10.6084/m9.figshare.3558303
title: Supplement 1. Script for the hierarchical model coded in BUGS language and technical specifications.

description: File List hierarchical_model_NZ_birds.r (MD5: eeeb5ac11c7e8ceacd5bd6fc67d14473) Script for the hierarchical model coded in BUGS language. Description This supplement provides the code of the hierarchical model used in the main analyses. This code can be directly implemented in any BUGS software, although JAGS has proved the most efficient. The code is intended to be easily transferable to similar data sets. Technical specifications for the main text analyses: three chains of 250 000 iterations were run, plus an adaptation period of 1000 iterations. A burnin period of 125 000 iterations was discarded, the remaining 125 000 were used for inference after thinning by 100. These chains took 15 days to run on a server with the following characteristics: CPU: 2 x Intel Xeon X5670 2.93 GHz<br> RAM: 48 GB<br> Operating system: Microsoft Server 2008 - 64bit<br> Disk-capacity: 3.63 TB ( 2 x 2 TB disks in RAID-0 configuration) The data need to be formatted as follows: obs: a three-dimensional array [sites, replicates, species] for bird counts; FOR, NATFOR, ALT, YR, VH, HOUR, HOUR2, HDET, SUBZON, TYH, OBSERV , ST: vectors for covariates, each with one value per site. HOUR2 corresponds to HOUR*HOUR. All continuous variables should be centered and scaled to improve convergence; S: the number of species; R: the number of sites; K: the number of replicates; nobs: the number of different observers; nsubzone: the number of regions; nyear: the number of survey years; NST: the number of guilds (here two, exotic and natives); NTYH: the number of different local habitats.
DOI: 10.6084/m9.figshare.3558303.v1
title: Supplement 1. Script for the hierarchical model coded in BUGS language and technical specifications.

description: File List hierarchical_model_NZ_birds.r (MD5: eeeb5ac11c7e8ceacd5bd6fc67d14473) Script for the hierarchical model coded in BUGS language. Description This supplement provides the code of the hierarchical model used in the main analyses. This code can be directly implemented in any BUGS software, although JAGS has proved the most efficient. The code is intended to be easily transferable to similar data sets. Technical specifications for the main text analyses: three chains of 250 000 iterations were run, plus an adaptation period of 1000 iterations. A burnin period of 125 000 iterations was discarded, the remaining 125 000 were used for inference after thinning by 100. These chains took 15 days to run on a server with the following characteristics: CPU: 2 x Intel Xeon X5670 2.93 GHz<br> RAM: 48 GB<br> Operating system: Microsoft Server 2008 - 64bit<br> Disk-capacity: 3.63 TB ( 2 x 2 TB disks in RAID-0 configuration) The data need to be formatted as follows: obs: a three-dimensional array [sites, replicates, species] for bird counts; FOR, NATFOR, ALT, YR, VH, HOUR, HOUR2, HDET, SUBZON, TYH, OBSERV , ST: vectors for covariates, each with one value per site. HOUR2 corresponds to HOUR*HOUR. All continuous variables should be centered and scaled to improve convergence; S: the number of species; R: the number of sites; K: the number of replicates; nobs: the number of different observers; nsubzone: the number of regions; nyear: the number of survey years; NST: the number of guilds (here two, exotic and natives); NTYH: the number of different local habitats.
DOI: 10.6084/m9.figshare.3558300
title: Appendix A. Description of methods for determining which capture events are recaptures.

description: Description of methods for determining which capture events are recaptures.
DOI: 10.6084/m9.figshare.3558300.v1
title: Appendix A. Description of methods for determining which capture events are recaptures.

description: Description of methods for determining which capture events are recaptures.
DOI: 10.6084/m9.figshare.3558297
title: Appendix B. Detailed description of regression and ANOVA analyses mentioned in the text with supplemental tables and figures, plus additional analyses providing evidence that recaptured animals are a random subset of those that survived.

description: Detailed description of regression and ANOVA analyses mentioned in the text with supplemental tables and figures, plus additional analyses providing evidence that recaptured animals are a random subset of those that survived.
DOI: 10.6084/m9.figshare.3558297.v1
title: Appendix B. Detailed description of regression and ANOVA analyses mentioned in the text with supplemental tables and figures, plus additional analyses providing evidence that recaptured animals are a random subset of those that survived.

description: Detailed description of regression and ANOVA analyses mentioned in the text with supplemental tables and figures, plus additional analyses providing evidence that recaptured animals are a random subset of those that survived.
DOI: 10.6084/m9.figshare.3558294
title: Appendix A. Literature cited in the stream signature distance–subsidy proportion metadata set.

description: Literature cited in the stream signature distance–subsidy proportion metadata set.
DOI: 10.6084/m9.figshare.3558294.v1
title: Appendix A. Literature cited in the stream signature distance–subsidy proportion metadata set.

description: Literature cited in the stream signature distance–subsidy proportion metadata set.
DOI: 10.6084/m9.figshare.3558291
title: Appendix B. Model comparison table and regression coefficients for parameters included in the five best overall stream signature prediction models.

description: Model comparison table and regression coefficients for parameters included in the five best overall stream signature prediction models.
DOI: 10.6084/m9.figshare.3558288
title: Supplement 1. Stream signature metadata set containing all available distance–subsidy proportion data.

description: File List data.txt (MD5: 862c4be81647ac70e77cf13dfa41fc83)Description The data.txt file is a tab-delimited file. It contains the data set used in the meta-analysis of stream signatures.
DOI: 10.6084/m9.figshare.3558285
title: Appendix A. Location, morphology, and environmental characteristics for four rivers used in the local adaptation experiments.

description: Location, morphology, and environmental characteristics for four rivers used in the local adaptation experiments.
DOI: 10.6084/m9.figshare.3558285.v1
title: Appendix A. Location, morphology, and environmental characteristics for four rivers used in the local adaptation experiments.

description: Location, morphology, and environmental characteristics for four rivers used in the local adaptation experiments.
DOI: 10.6084/m9.figshare.3558282
title: Appendix B. Illustration of experimental design for reciprocal transplant experiments.

description: Illustration of experimental design for reciprocal transplant experiments.
DOI: 10.6084/m9.figshare.3558282.v1
title: Appendix B. Illustration of experimental design for reciprocal transplant experiments.

description: Illustration of experimental design for reciprocal transplant experiments.
DOI: 10.6084/m9.figshare.3558279
title: Appendix C. Background experiments for determining the methods used for evaluating leaf decomposition measurements.

description: Background experiments for determining the methods used for evaluating leaf decomposition measurements.
DOI: 10.6084/m9.figshare.3558279.v1
title: Appendix C. Background experiments for determining the methods used for evaluating leaf decomposition measurements.

description: Background experiments for determining the methods used for evaluating leaf decomposition measurements.
DOI: 10.6084/m9.figshare.3558276
title: Appendix D. Leaf litter fall into rivers during summer months.

description: Leaf litter fall into rivers during summer months.
DOI: 10.6084/m9.figshare.3558276.v1
title: Appendix D. Leaf litter fall into rivers during summer months.

description: Leaf litter fall into rivers during summer months.
DOI: 10.6084/m9.figshare.3558273
title: Appendix E. Individual tree variation in leaf decomposition rates across four rivers.

description: Individual tree variation in leaf decomposition rates across four rivers.
DOI: 10.6084/m9.figshare.3558273.v1
title: Appendix E. Individual tree variation in leaf decomposition rates across four rivers.

description: Individual tree variation in leaf decomposition rates across four rivers.
DOI: 10.6084/m9.figshare.3558270
title: Appendix F. Nonparametric comparisons of decomposition rates in reciprocal transplant experiments.

description: Nonparametric comparisons of decomposition rates in reciprocal transplant experiments.
DOI: 10.6084/m9.figshare.3558270.v1
title: Appendix F. Nonparametric comparisons of decomposition rates in reciprocal transplant experiments.

description: Nonparametric comparisons of decomposition rates in reciprocal transplant experiments.
DOI: 10.6084/m9.figshare.3558267
title: Appendix A. Details of the identification and selection of studies and statistical analyses used to determine if exotic herbivores are better competitors.

description: Details of the identification and selection of studies and statistical analyses used to determine if exotic herbivores are better competitors.
DOI: 10.6084/m9.figshare.3558267.v1
title: Appendix A. Details of the identification and selection of studies and statistical analyses used to determine if exotic herbivores are better competitors.

description: Details of the identification and selection of studies and statistical analyses used to determine if exotic herbivores are better competitors.
DOI: 10.6084/m9.figshare.3558264
title: Appendix B. Analyses of the importance of coevolutionary history, temporal separation, and spatial separation on interspecific competition when controlling exotic/native status of the focal and competing herbivore.

description: Analyses of the importance of coevolutionary history, temporal separation, and spatial separation on interspecific competition when controlling exotic/native status of the focal and competing herbivore.
DOI: 10.6084/m9.figshare.3558261
title: Supplement 1. List of all competing insect pairs evaluated and the number of times they were used in the database.

description: File List supplement.txt (MD5: 2cba90e4b399577ead043507d4c87d39) Description List of all competing insect pairs evaluated and the number of times they were used in the database.
DOI: 10.6084/m9.figshare.3558258
title: Appendix A. Model implementation details and JAGS code for the simulation study.

description: Model implementation details and JAGS code for the simulation study.
DOI: 10.6084/m9.figshare.3558258.v1
title: Appendix A. Model implementation details and JAGS code for the simulation study.

description: Model implementation details and JAGS code for the simulation study.
DOI: 10.6084/m9.figshare.3558255
title: Appendix B. Extended results from the simulation study.

description: Extended results from the simulation study.
DOI: 10.6084/m9.figshare.3558255.v1
title: Appendix B. Extended results from the simulation study.

description: Extended results from the simulation study.
DOI: 10.6084/m9.figshare.3558252
title: Appendix C. Model implementation details and JAGS code for the northern dusky salamander model.

description: Model implementation details and JAGS code for the northern dusky salamander model.
DOI: 10.6084/m9.figshare.3558252.v1
title: Appendix C. Model implementation details and JAGS code for the northern dusky salamander model.

description: Model implementation details and JAGS code for the northern dusky salamander model.
DOI: 10.6084/m9.figshare.3558249
title: Appendix A. Description and codes for the variables and species of the plant data set.

description: Description and codes for the variables and species of the plant data set.
DOI: 10.6084/m9.figshare.3558246
title: Appendix B. Detailed description of RLQ and fourth-corner methods.

description: Detailed description of RLQ and fourth-corner methods.
DOI: 10.6084/m9.figshare.3558243
title: Appendix C. Results of the simulation study (estimation of Type I error) for the new approach that combines the fourth-corner and RLQ methods.

description: Results of the simulation study (estimation of Type I error) for the new approach that combines the fourth-corner and RLQ methods.
DOI: 10.6084/m9.figshare.3558243.v1
title: Appendix C. Results of the simulation study (estimation of Type I error) for the new approach that combines the fourth-corner and RLQ methods.

description: Results of the simulation study (estimation of Type I error) for the new approach that combines the fourth-corner and RLQ methods.
DOI: 10.6084/m9.figshare.3558240
title: Supplement 1. A tutorial to perform fourth-corner and RLQ analyses in R.

description: File List suppl-1.pdf (MD5: d238efc445a572b0a83024eb52886bc1)Description The file suppl-1.pdf is a tutorial showing how the fourth-corner and RLQ analyses can be performed using the ade4 package for R. The data set presented in the paper is used to illustrate the methods.
DOI: 10.6084/m9.figshare.3558237
title: Appendix A. A description of the study sites.

description: A description of the study sites.
DOI: 10.6084/m9.figshare.3558237.v1
title: Appendix A. A description of the study sites.

description: A description of the study sites.
DOI: 10.6084/m9.figshare.3558234
title: Appendix A. Summary table of species used in the experiment.

description: Summary table of species used in the experiment.
DOI: 10.6084/m9.figshare.3558234.v1
title: Appendix A. Summary table of species used in the experiment.

description: Summary table of species used in the experiment.
DOI: 10.6084/m9.figshare.3558231
title: Appendix B. Methods for feeding trials and characterization of trophic structure.

description: Methods for feeding trials and characterization of trophic structure.
DOI: 10.6084/m9.figshare.3558231.v1
title: Appendix B. Methods for feeding trials and characterization of trophic structure.

description: Methods for feeding trials and characterization of trophic structure.
DOI: 10.6084/m9.figshare.3558228
title: Appendix C. Heat map of feeding trial growth rates and the general experimental food web.

description: Heat map of feeding trial growth rates and the general experimental food web.
DOI: 10.6084/m9.figshare.3558228.v1
title: Appendix C. Heat map of feeding trial growth rates and the general experimental food web.

description: Heat map of feeding trial growth rates and the general experimental food web.
DOI: 10.6084/m9.figshare.3558225
title: Appendix D. Scatterplot of asymmetry in species composition.

description: Scatterplot of asymmetry in species composition.
DOI: 10.6084/m9.figshare.3558225.v1
title: Appendix D. Scatterplot of asymmetry in species composition.

description: Scatterplot of asymmetry in species composition.
DOI: 10.6084/m9.figshare.3558222
title: Supplement 1. R script with annotations for simulation and analysis of simulation output.

description: File List R_script_simulation.r (MD5: 3b20e3f347a136eb3c3470bbb57101b1) Description The supplement is a script (R_script_simulation.r) demonstrating the implementation of our simulations and subsequent analysis of asymmetry. The simulation method we utilized is nonparametric and user-defined. For this reason we have included the script. As described in the methods section of our associated manuscript, the simulation involves imposing species extinctions in our post-mixing communities and using the output as a null model against which we compare our observed results. The script includes annotations describing the function of each section of code.
DOI: 10.6084/m9.figshare.3558219
title: Appendix A. A description of the fully size-structured population model.

description: A description of the fully size-structured population model.
DOI: 10.6084/m9.figshare.3558216
title: Appendix B. A description of the inclusive niche model.

description: A description of the inclusive niche model.
DOI: 10.6084/m9.figshare.3558216.v1
title: Appendix B. A description of the inclusive niche model.

description: A description of the inclusive niche model.
DOI: 10.6084/m9.figshare.3558213
title: Appendix C. A description of the symmetrical niche model under the assumption of nutrient recycling.

description: A description of the symmetrical niche model under the assumption of nutrient recycling.
DOI: 10.6084/m9.figshare.3558210
title: Appendix A. Summary of the metrics examined in the study.

description: Summary of the metrics examined in the study.
DOI: 10.6084/m9.figshare.3558210.v1
title: Appendix A. Summary of the metrics examined in the study.

description: Summary of the metrics examined in the study.
DOI: 10.6084/m9.figshare.3558207
title: Appendix B. Summary of the configuration of the simulation regarding community assembly conditions and related data preparation.

description: Summary of the configuration of the simulation regarding community assembly conditions and related data preparation.
DOI: 10.6084/m9.figshare.3558207.v1
title: Appendix B. Summary of the configuration of the simulation regarding community assembly conditions and related data preparation.

description: Summary of the configuration of the simulation regarding community assembly conditions and related data preparation.
DOI: 10.6084/m9.figshare.3558204
title: Appendix C. A schematic flow of the process of the analysis.

description: A schematic flow of the process of the analysis.
DOI: 10.6084/m9.figshare.3558204.v1
title: Appendix C. A schematic flow of the process of the analysis.

description: A schematic flow of the process of the analysis.
DOI: 10.6084/m9.figshare.3558201
title: Appendix D. The performance of the two single-trait metrics for convergence against 10 alternative assembly scenarios.

description: The performance of the two single-trait metrics for convergence against 10 alternative assembly scenarios.
DOI: 10.6084/m9.figshare.3558201.v1
title: Appendix D. The performance of the two single-trait metrics for convergence against 10 alternative assembly scenarios.

description: The performance of the two single-trait metrics for convergence against 10 alternative assembly scenarios.
DOI: 10.6084/m9.figshare.3558198
title: Appendix E. The performance of the three multi-trait metrics for convergence against 10 alternative assembly scenarios.

description: The performance of the three multi-trait metrics for convergence against 10 alternative assembly scenarios.
DOI: 10.6084/m9.figshare.3558198.v1
title: Appendix E. The performance of the three multi-trait metrics for convergence against 10 alternative assembly scenarios.

description: The performance of the three multi-trait metrics for convergence against 10 alternative assembly scenarios.
DOI: 10.6084/m9.figshare.3558195
title: Appendix F. The performance of the eight single-trait metrics for divergence against 10 alternative assembly scenarios.

description: The performance of the eight single-trait metrics for divergence against 10 alternative assembly scenarios.
DOI: 10.6084/m9.figshare.3558195.v1
title: Appendix F. The performance of the eight single-trait metrics for divergence against 10 alternative assembly scenarios.

description: The performance of the eight single-trait metrics for divergence against 10 alternative assembly scenarios.
DOI: 10.6084/m9.figshare.3558192
title: Appendix G. The performance of the eight multi-trait metrics for divergence against 10 alternative assembly scenarios.

description: The performance of the eight multi-trait metrics for divergence against 10 alternative assembly scenarios.
DOI: 10.6084/m9.figshare.3558192.v1
title: Appendix G. The performance of the eight multi-trait metrics for divergence against 10 alternative assembly scenarios.

description: The performance of the eight multi-trait metrics for divergence against 10 alternative assembly scenarios.
DOI: 10.6084/m9.figshare.3558189
title: Appendix H. The performance of the two single-trait metrics for convergence against the problems of scaling relationships and local species richness.

description: The performance of the two single-trait metrics for convergence against the problems of scaling relationships and local species richness.
DOI: 10.6084/m9.figshare.3558189.v1
title: Appendix H. The performance of the two single-trait metrics for convergence against the problems of scaling relationships and local species richness.

description: The performance of the two single-trait metrics for convergence against the problems of scaling relationships and local species richness.
DOI: 10.6084/m9.figshare.3558186
title: Appendix I. The performance of the three multi-trait metrics for convergence against the problems of scaling relationships, the sufficiency of traits, and local species richness.

description: The performance of the three multi-trait metrics for convergence against the problems of scaling relationships, the sufficiency of traits, and local species richness.
DOI: 10.6084/m9.figshare.3558186.v1
title: Appendix I. The performance of the three multi-trait metrics for convergence against the problems of scaling relationships, the sufficiency of traits, and local species richness.

description: The performance of the three multi-trait metrics for convergence against the problems of scaling relationships, the sufficiency of traits, and local species richness.
DOI: 10.6084/m9.figshare.3558183
title: Appendix J. The performance of the eight single-trait metrics for divergence against the problems of scaling relationships and local species richness.

description: The performance of the eight single-trait metrics for divergence against the problems of scaling relationships and local species richness.