cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3551985.v1
title: Appendix A. Additional Monte Carlo simulations comparing the performance of LR and NLR estimation methods with hypothetical parameters.

description: Additional Monte Carlo simulations comparing the performance of LR and NLR estimation methods with hypothetical parameters.
DOI: 10.6084/m9.figshare.3551982
title: Appendix B. List of empirical data sets used in Monte Carlo simulations and likelihood analysis.

description: List of empirical data sets used in Monte Carlo simulations and likelihood analysis.
DOI: 10.6084/m9.figshare.3551982.v1
title: Appendix B. List of empirical data sets used in Monte Carlo simulations and likelihood analysis.

description: List of empirical data sets used in Monte Carlo simulations and likelihood analysis.
DOI: 10.6084/m9.figshare.3551979
title: Appendix C. Technical details of the Monte Carlo simulations using empirical parameters and the simulations related to weighted model averaging.

description: Technical details of the Monte Carlo simulations using empirical parameters and the simulations related to weighted model averaging.
DOI: 10.6084/m9.figshare.3551976
title: Supplement 1. A file containing 471 data sets compiled from the literature describing power-law relationships in ecology, evolution, and physiology.

description: File List Sup_1_Data.csv Description The Sup_1_Data.csv file contains 471 data sets compiled from literature describing power-law relationships between two variables in ecology, evolution, and physiology. For the full list of citations, see Appendix B of this paper. Column definitions: Dataset ID x – independent variable in the original dataset y – dependent variable in the original dataset Checksum values are: Column 1 (Dataset ID): SUM = 4575923; 0 missing values (rows with data: 24902)<br> Column 2 (independent variable <i>x</i>): SUM = 1413965769; 0 missing values (rows with data: 24902)<br> Column 3 (dependent variable <i>y</i>): SUM = 2137944719097.652; 0 missing values (row with data: 24902)
DOI: 10.6084/m9.figshare.3551976.v1
title: Supplement 1. A file containing 471 data sets compiled from the literature describing power-law relationships in ecology, evolution, and physiology.

description: File List Sup_1_Data.csv Description The Sup_1_Data.csv file contains 471 data sets compiled from literature describing power-law relationships between two variables in ecology, evolution, and physiology. For the full list of citations, see Appendix B of this paper. Column definitions: Dataset ID x – independent variable in the original dataset y – dependent variable in the original dataset Checksum values are: Column 1 (Dataset ID): SUM = 4575923; 0 missing values (rows with data: 24902)<br> Column 2 (independent variable <i>x</i>): SUM = 1413965769; 0 missing values (rows with data: 24902)<br> Column 3 (dependent variable <i>y</i>): SUM = 2137944719097.652; 0 missing values (row with data: 24902)
DOI: 10.6084/m9.figshare.3551973
title: Supplement 2. The R source code to implement the recommended guidelines for the analysis of power-law relationships.

description: File List Original version: Sup_2_Guidelines.r <b><i>Corrected version</i></b> as of 20 October 2014: Sup_2_Guidelines_revised.r Description The Sup_2_Guidelines_revised.r file provides the R source code to implement the guidelines for the analysis of power-law relationships suggested in the paper.
DOI: 10.6084/m9.figshare.3551973.v1
title: Supplement 2. The R source code to implement the recommended guidelines for the analysis of power-law relationships.

description: File List Original version: Sup_2_Guidelines.r <b><i>Corrected version</i></b> as of 20 October 2014: Sup_2_Guidelines_revised.r Description The Sup_2_Guidelines_revised.r file provides the R source code to implement the guidelines for the analysis of power-law relationships suggested in the paper.
DOI: 10.6084/m9.figshare.3551970
title: Appendix A. Example of simulated communities undergoing increasing and decreasing directional change in species composition over time.

description: Example of simulated communities undergoing increasing and decreasing directional change in species composition over time.
DOI: 10.6084/m9.figshare.3551970.v1
title: Appendix A. Example of simulated communities undergoing increasing and decreasing directional change in species composition over time.

description: Example of simulated communities undergoing increasing and decreasing directional change in species composition over time.
DOI: 10.6084/m9.figshare.3551967
title: Appendix B. Table of parameter values used in the simulation study.

description: Table of parameter values used in the simulation study.
DOI: 10.6084/m9.figshare.3551967.v1
title: Appendix B. Table of parameter values used in the simulation study.

description: Table of parameter values used in the simulation study.
DOI: 10.6084/m9.figshare.3551964
title: Supplement 1. R code example for fitting the Mantel test, permutational multivariate analysis of variance, and constrained analysis of principal coordinates in the vegan package of R.

description: File List Supplement1_Rcode_ModelFit.txt Description R code for fitting the three dissimilarity-based models described in the paper: Mantel test, permutational multivariate analysis of variance (PerMANOVA), and constrained analysis of principal coordinates (CAP). R code utilizes the functions within the vegan package.
DOI: 10.6084/m9.figshare.3551961
title: Supplement 2. R code for simulating binary assemblage data that exhibit directional change in species composition.

description: File List Supplement2_Rcode_SimulateData.txt Description R code written to simulate binary species assemblage data that displays an increasing or decreasing directional temporal trend within multiple sites for use in a Monte Carlo power analysis. To simulate a community displaying increasing directional trend use the function SimPopALL, an example is included for illustration. To simulate a community consistent with decreasing directional trend use the function SimPopALL.nonlin, an example is provided. The required inputs to the functions are described within the file. The output from both functions is a list with component called Y.ALL for the simulated data matrix with 1st column the site id, 2nd column year id, and remaining columns for species. This function can be used to simulate data under a specified alternative hypothesis within an iterative procedure as described in the paper.
DOI: 10.6084/m9.figshare.3551961.v1
title: Supplement 2. R code for simulating binary assemblage data that exhibit directional change in species composition.

description: File List Supplement2_Rcode_SimulateData.txt Description R code written to simulate binary species assemblage data that displays an increasing or decreasing directional temporal trend within multiple sites for use in a Monte Carlo power analysis. To simulate a community displaying increasing directional trend use the function SimPopALL, an example is included for illustration. To simulate a community consistent with decreasing directional trend use the function SimPopALL.nonlin, an example is provided. The required inputs to the functions are described within the file. The output from both functions is a list with component called Y.ALL for the simulated data matrix with 1st column the site id, 2nd column year id, and remaining columns for species. This function can be used to simulate data under a specified alternative hypothesis within an iterative procedure as described in the paper.
DOI: 10.6084/m9.figshare.3551958
title: Appendix A. ANOVA testing for differences in the percent cover of herbs, moss, bare ground, leaf litter, and coarse woody debris between stands of different ages and treatments.

description: ANOVA testing for differences in the percent cover of herbs, moss, bare ground, leaf litter, and coarse woody debris between stands of different ages and treatments.
DOI: 10.6084/m9.figshare.3551955
title: Appendix B. Negative binomial generalized linear models testing the effects of stand age, partial removal of Formica aquilonia, the interaction between these factors, and the covariate 2006 occurrence (of the response species) on the occurrence of common ant species in 2008.

description: Negative binomial generalized linear models testing the effects of stand age, partial removal of Formica aquilonia, the interaction between these factors, and the covariate 2006 occurrence (of the response species) on the occurrence of common ant species in 2008.
DOI: 10.6084/m9.figshare.3551958.v1
title: Appendix A. ANOVA testing for differences in the percent cover of herbs, moss, bare ground, leaf litter, and coarse woody debris between stands of different ages and treatments.

description: ANOVA testing for differences in the percent cover of herbs, moss, bare ground, leaf litter, and coarse woody debris between stands of different ages and treatments.
DOI: 10.6084/m9.figshare.3551955.v1
title: Appendix B. Negative binomial generalized linear models testing the effects of stand age, partial removal of Formica aquilonia, the interaction between these factors, and the covariate 2006 occurrence (of the response species) on the occurrence of common ant species in 2008.

description: Negative binomial generalized linear models testing the effects of stand age, partial removal of Formica aquilonia, the interaction between these factors, and the covariate 2006 occurrence (of the response species) on the occurrence of common ant species in 2008.
DOI: 10.6084/m9.figshare.3551952
title: Data Paper. Data Paper

description: File List BirdMigrationData.txt ObsHoursPerDay.txt Description Millions of birds migrate each year between breeding grounds and overwintering areas. Migration behavior is influenced by a number of factors: day length, physiological and genetic factors, the magnetic compass, population dynamics, and by weather and climatic conditions. Historical and current data on avian migration are of broad scientific value. Most of the information on avian migration is presented in the form of summary statistics (e.g., duration of migration, number of individuals, trend line over years) in published studies, but original data sets are not readily available. Here, we describe the first open-source archive on visible diurnal spring migration in Central Europe. The database comprises the records of a systematic field study, which covers 35541 records of migrating birds for more than 138000 specimens of 96 species. Data were collected during the spring periods of 1984, 1985, and 1986. Bird census was conducted at the tip of the Höri peninsula in Lake Constance, Germany (north of the Alps: 47°41'49.11" N, 9°00'21.52" E). Migrating birds were counted from the beginning of March to the beginning of May each morning using fine-grained 15-min intervals. Flock size, migration heading, and weather conditions are provided for each species, e.g., for the European Chaffinch <i>Fringilla coelebs</i>. In all three years we found evidence that Chaffinches ceased to migrate to northeastern and eastern directions at the end of the observation period. The migration pattern of two thrush species (<i>Turdus merula</i> and <i>T. viscivorus</i>) is also presented in more detail. <i>Turdus merula</i> had its migration peak always early in the morning, whereas migration of <i>T. viscivorus</i> was recorded from the early morning onward, with a peak at late morning to noon. Migration records are also documented for species that are generally believed as resident birds in the inland of Central Europe (e.g., <i>Streptopelia decaocto</i>, <i>Parus palustris, Certhia brachydactyla, Pica pica</i>). Our archive might be of significance for studying patterns of daily migration, e.g., the effect of weather on spring migration intensity and for methodological studies on the same issue. <i>Key words: bird migration; Bodensee (Germany); Höri peninsula (Germany); Lake Constance (Germany); spring avian migration</i>.
DOI: 10.6084/m9.figshare.3551949
title: Supplement 1. Raw data used to calculate annual number of rats trapped per day, and water python annual residual body mass, annual residual growth rate, annual snout–vent length of gravid females, annual snout–vent length of the 20% of the smallest gravid females, and water pythons snout–vent length and brood size.

description: File List 1. Annual number of rats trapped per day.txt<br> 2. Annual RBM.txt<br> 3. Annual residual growth rates.txt<br> 4. Annual SVL gravid.txt<br> 5. Annual SVL of smallest 20 percent.txt<br> 6. SVL and clutch size.txt Description 1. Annual number of rats trapped per day:<br> Checksum = 2212<br> no missing values 2. Annual residual body mass (RBM)<br> Checksum = 0<br> 17 missing values 3. Annual residual growth rate<br> Checksum = 0<br> no missing values 4. Annual snout-vent length (SVL) of gravid females<br> Checksum = 176700<br> no missing values 5. Annual snout-vent length (SVL) of the 20% of the smallest gravid females<br> Checksum = 31494<br> no missing values 6. Water pythons snout-length (SVL) and brood size<br> Checksum SVL = 21700<br> no missing values<br> Checksum brood size = 1522<br> no missing values
DOI: 10.6084/m9.figshare.3551952.v1
title: Data Paper. Data Paper

description: File List BirdMigrationData.txt ObsHoursPerDay.txt Description Millions of birds migrate each year between breeding grounds and overwintering areas. Migration behavior is influenced by a number of factors: day length, physiological and genetic factors, the magnetic compass, population dynamics, and by weather and climatic conditions. Historical and current data on avian migration are of broad scientific value. Most of the information on avian migration is presented in the form of summary statistics (e.g., duration of migration, number of individuals, trend line over years) in published studies, but original data sets are not readily available. Here, we describe the first open-source archive on visible diurnal spring migration in Central Europe. The database comprises the records of a systematic field study, which covers 35541 records of migrating birds for more than 138000 specimens of 96 species. Data were collected during the spring periods of 1984, 1985, and 1986. Bird census was conducted at the tip of the Höri peninsula in Lake Constance, Germany (north of the Alps: 47°41'49.11" N, 9°00'21.52" E). Migrating birds were counted from the beginning of March to the beginning of May each morning using fine-grained 15-min intervals. Flock size, migration heading, and weather conditions are provided for each species, e.g., for the European Chaffinch <i>Fringilla coelebs</i>. In all three years we found evidence that Chaffinches ceased to migrate to northeastern and eastern directions at the end of the observation period. The migration pattern of two thrush species (<i>Turdus merula</i> and <i>T. viscivorus</i>) is also presented in more detail. <i>Turdus merula</i> had its migration peak always early in the morning, whereas migration of <i>T. viscivorus</i> was recorded from the early morning onward, with a peak at late morning to noon. Migration records are also documented for species that are generally believed as resident birds in the inland of Central Europe (e.g., <i>Streptopelia decaocto</i>, <i>Parus palustris, Certhia brachydactyla, Pica pica</i>). Our archive might be of significance for studying patterns of daily migration, e.g., the effect of weather on spring migration intensity and for methodological studies on the same issue. <i>Key words: bird migration; Bodensee (Germany); Höri peninsula (Germany); Lake Constance (Germany); spring avian migration</i>.
DOI: 10.6084/m9.figshare.3551949.v1
title: Supplement 1. Raw data used to calculate annual number of rats trapped per day, and water python annual residual body mass, annual residual growth rate, annual snout–vent length of gravid females, annual snout–vent length of the 20% of the smallest gravid females, and water pythons snout–vent length and brood size.

description: File List 1. Annual number of rats trapped per day.txt<br> 2. Annual RBM.txt<br> 3. Annual residual growth rates.txt<br> 4. Annual SVL gravid.txt<br> 5. Annual SVL of smallest 20 percent.txt<br> 6. SVL and clutch size.txt Description 1. Annual number of rats trapped per day:<br> Checksum = 2212<br> no missing values 2. Annual residual body mass (RBM)<br> Checksum = 0<br> 17 missing values 3. Annual residual growth rate<br> Checksum = 0<br> no missing values 4. Annual snout-vent length (SVL) of gravid females<br> Checksum = 176700<br> no missing values 5. Annual snout-vent length (SVL) of the 20% of the smallest gravid females<br> Checksum = 31494<br> no missing values 6. Water pythons snout-length (SVL) and brood size<br> Checksum SVL = 21700<br> no missing values<br> Checksum brood size = 1522<br> no missing values
DOI: 10.6084/m9.figshare.3551946
title: Appendix A. Tables listing the data sets used and comparisons of the probablistic niche model (PNM) with the allometric diet breadth model, minimum potential niche model, and groups model.

description: Tables listing the data sets used and comparisons of the probablistic niche model (PNM) with the allometric diet breadth model, minimum potential niche model, and groups model.
DOI: 10.6084/m9.figshare.3551946.v1
title: Appendix A. Tables listing the data sets used and comparisons of the probablistic niche model (PNM) with the allometric diet breadth model, minimum potential niche model, and groups model.

description: Tables listing the data sets used and comparisons of the probablistic niche model (PNM) with the allometric diet breadth model, minimum potential niche model, and groups model.
DOI: 10.6084/m9.figshare.3551943
title: Appendix B. Links probabilities predicted by the probabilistic niche model and empirically observed links for all 37 food webs.

description: Links probabilities predicted by the probabilistic niche model and empirically observed links for all 37 food webs.
DOI: 10.6084/m9.figshare.3551943.v1
title: Appendix B. Links probabilities predicted by the probabilistic niche model and empirically observed links for all 37 food webs.

description: Links probabilities predicted by the probabilistic niche model and empirically observed links for all 37 food webs.
DOI: 10.6084/m9.figshare.3551910
title: Appendix A. Species, families, and orders of invertebrate shredders collected, and regions at which they were present.

description: Species, families, and orders of invertebrate shredders collected, and regions at which they were present.
DOI: 10.6084/m9.figshare.3551904
title: Appendix B. Leaf toughness of studied plant species in temperate and tropical regions.

description: Leaf toughness of studied plant species in temperate and tropical regions.
DOI: 10.6084/m9.figshare.3551910.v1
title: Appendix A. Species, families, and orders of invertebrate shredders collected, and regions at which they were present.

description: Species, families, and orders of invertebrate shredders collected, and regions at which they were present.
DOI: 10.6084/m9.figshare.3551904.v1
title: Appendix B. Leaf toughness of studied plant species in temperate and tropical regions.

description: Leaf toughness of studied plant species in temperate and tropical regions.
DOI: 10.6084/m9.figshare.3551901
title: Appendix A. Detailed methods for resource measurements.

description: Detailed methods for resource measurements.
DOI: 10.6084/m9.figshare.3551901.v1
title: Appendix A. Detailed methods for resource measurements.

description: Detailed methods for resource measurements.
DOI: 10.6084/m9.figshare.3551898
title: Appendix B. Spatial dependence of seedlings with residual growth variance per species and transect.

description: Spatial dependence of seedlings with residual growth variance per species and transect.
DOI: 10.6084/m9.figshare.3551898.v1
title: Appendix B. Spatial dependence of seedlings with residual growth variance per species and transect.

description: Spatial dependence of seedlings with residual growth variance per species and transect.
DOI: 10.6084/m9.figshare.3551892
title: Appendix C. Resource parameters of seedling growth rate, by species.

description: Resource parameters of seedling growth rate, by species.
DOI: 10.6084/m9.figshare.3551892.v1
title: Appendix C. Resource parameters of seedling growth rate, by species.

description: Resource parameters of seedling growth rate, by species.
DOI: 10.6084/m9.figshare.3551886
title: Appendix D. Maximum magnitude of resource effects on the final height of seedling growth, by species.

description: Maximum magnitude of resource effects on the final height of seedling growth, by species.
DOI: 10.6084/m9.figshare.3551886.v1
title: Appendix D. Maximum magnitude of resource effects on the final height of seedling growth, by species.

description: Maximum magnitude of resource effects on the final height of seedling growth, by species.
DOI: 10.6084/m9.figshare.3551883
title: Appendix E. Correlations between species’ magnitude of responses and initial seedling size.

description: Correlations between species’ magnitude of responses and initial seedling size.
DOI: 10.6084/m9.figshare.3551883.v1
title: Appendix E. Correlations between species’ magnitude of responses and initial seedling size.

description: Correlations between species’ magnitude of responses and initial seedling size.
DOI: 10.6084/m9.figshare.3551880
title: Appendix A. A table showing the results of the two-way ANOVAs examining differences in above- and belowground eelgrass parameters of different eelgrass genotypes submitted to nitrogen addition.

description: A table showing the results of the two-way ANOVAs examining differences in above- and belowground eelgrass parameters of different eelgrass genotypes submitted to nitrogen addition.
DOI: 10.6084/m9.figshare.3551877
title: Appendix B. A table showing the results of the meta-analyses conducted to assess the effects of nitrogen addition on isopod feeding preference in experiments with fresh material and agar-based foods.

description: A table showing the results of the meta-analyses conducted to assess the effects of nitrogen addition on isopod feeding preference in experiments with fresh material and agar-based foods.
DOI: 10.6084/m9.figshare.3551877.v1
title: Appendix B. A table showing the results of the meta-analyses conducted to assess the effects of nitrogen addition on isopod feeding preference in experiments with fresh material and agar-based foods.

description: A table showing the results of the meta-analyses conducted to assess the effects of nitrogen addition on isopod feeding preference in experiments with fresh material and agar-based foods.
DOI: 10.6084/m9.figshare.3551874
title: Appendix A. Species abundance of the herbivorous arthropod community accumulated from 233 samples of Solanum peruvianum plants in their native habitat in Peru.

description: Species abundance of the herbivorous arthropod community accumulated from 233 samples of Solanum peruvianum plants in their native habitat in Peru.
DOI: 10.6084/m9.figshare.3551871
title: Appendix B. A figure showing the correlation between the percentage of flowers per inflorescence with pollination marks and the percentage of fruits set.

description: A figure showing the correlation between the percentage of flowers per inflorescence with pollination marks and the percentage of fruits set.
DOI: 10.6084/m9.figshare.3551874.v1
title: Appendix A. Species abundance of the herbivorous arthropod community accumulated from 233 samples of Solanum peruvianum plants in their native habitat in Peru.

description: Species abundance of the herbivorous arthropod community accumulated from 233 samples of Solanum peruvianum plants in their native habitat in Peru.
DOI: 10.6084/m9.figshare.3551871.v1
title: Appendix B. A figure showing the correlation between the percentage of flowers per inflorescence with pollination marks and the percentage of fruits set.

description: A figure showing the correlation between the percentage of flowers per inflorescence with pollination marks and the percentage of fruits set.