cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3559974
title: Appendix C. Supplementary Results: tabulation of standardized coefficients for species and year effect, analyses of correlations among weather variables, and analyses of butterfly flight windows and probabilities of occurrence.

description: Supplementary Results: tabulation of standardized coefficients for species and year effect, analyses of correlations among weather variables, and analyses of butterfly flight windows and probabilities of occurrence.
DOI: 10.6084/m9.figshare.3559974.v1
title: Appendix C. Supplementary Results: tabulation of standardized coefficients for species and year effect, analyses of correlations among weather variables, and analyses of butterfly flight windows and probabilities of occurrence.

description: Supplementary Results: tabulation of standardized coefficients for species and year effect, analyses of correlations among weather variables, and analyses of butterfly flight windows and probabilities of occurrence.
DOI: 10.6084/m9.figshare.3559971
title: Appendix A. Performance of the single-season phenological model.

description: Performance of the single-season phenological model.
DOI: 10.6084/m9.figshare.3559971.v1
title: Appendix A. Performance of the single-season phenological model.

description: Performance of the single-season phenological model.
DOI: 10.6084/m9.figshare.3559968
title: Appendix B. Field methods and analyses of the bird surveys of the Aargau Biodiversity Monitoring Program.

description: Field methods and analyses of the bird surveys of the Aargau Biodiversity Monitoring Program.
DOI: 10.6084/m9.figshare.3559968.v1
title: Appendix B. Field methods and analyses of the bird surveys of the Aargau Biodiversity Monitoring Program.

description: Field methods and analyses of the bird surveys of the Aargau Biodiversity Monitoring Program.
DOI: 10.6084/m9.figshare.3559965
title: Appendix C. Field methods and analyses of the butterfly surveys of the Aargau Biodiversity Monitoring Program.

description: Field methods and analyses of the butterfly surveys of the Aargau Biodiversity Monitoring Program.
DOI: 10.6084/m9.figshare.3559962
title: Appendix D. Simulation results of the three simulation scenarios to estimate trends in average arrival across years.

description: Simulation results of the three simulation scenarios to estimate trends in average arrival across years.
DOI: 10.6084/m9.figshare.3559962.v1
title: Appendix D. Simulation results of the three simulation scenarios to estimate trends in average arrival across years.

description: Simulation results of the three simulation scenarios to estimate trends in average arrival across years.
DOI: 10.6084/m9.figshare.3559959
title: Appendix A. Supplemental tables including a list of focal species used for thermal tolerance experiments and results from statistical models examining tolerance breadth and elevational range of beetles.

description: Supplemental tables including a list of focal species used for thermal tolerance experiments and results from statistical models examining tolerance breadth and elevational range of beetles.
DOI: 10.6084/m9.figshare.3559959.v1
title: Appendix A. Supplemental tables including a list of focal species used for thermal tolerance experiments and results from statistical models examining tolerance breadth and elevational range of beetles.

description: Supplemental tables including a list of focal species used for thermal tolerance experiments and results from statistical models examining tolerance breadth and elevational range of beetles.
DOI: 10.6084/m9.figshare.3559956
title: Appendix B. Comparative analyses and figures for thermal physiology of beetles following long and short periods of acclimation.

description: Comparative analyses and figures for thermal physiology of beetles following long and short periods of acclimation.
DOI: 10.6084/m9.figshare.3559956.v1
title: Appendix B. Comparative analyses and figures for thermal physiology of beetles following long and short periods of acclimation.

description: Comparative analyses and figures for thermal physiology of beetles following long and short periods of acclimation.
DOI: 10.6084/m9.figshare.3559953
title: Appendix C. Figure showing critical thermal limits of beetles as a function of realized seasonality.

description: Figure showing critical thermal limits of beetles as a function of realized seasonality.
DOI: 10.6084/m9.figshare.3559953.v1
title: Appendix C. Figure showing critical thermal limits of beetles as a function of realized seasonality.

description: Figure showing critical thermal limits of beetles as a function of realized seasonality.
DOI: 10.6084/m9.figshare.3559950
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.3559950.v1
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.3559947
title: Appendix A. Candidate models.

description: Candidate models.
DOI: 10.6084/m9.figshare.3559947.v1
title: Appendix A. Candidate models.

description: Candidate models.
DOI: 10.6084/m9.figshare.3559944
title: Appendix B. Inter-pool distances.

description: Inter-pool distances.
DOI: 10.6084/m9.figshare.3559944.v1
title: Appendix B. Inter-pool distances.

description: Inter-pool distances.
DOI: 10.6084/m9.figshare.3559941
title: Appendix C. Fitted models of species cover.

description: Fitted models of species cover.
DOI: 10.6084/m9.figshare.3559941.v1
title: Appendix C. Fitted models of species cover.

description: Fitted models of species cover.
DOI: 10.6084/m9.figshare.3559938
title: Appendix D. Model-averaged connectivity parameter estimates.

description: Model-averaged connectivity parameter estimates.
DOI: 10.6084/m9.figshare.3559938.v1
title: Appendix D. Model-averaged connectivity parameter estimates.

description: Model-averaged connectivity parameter estimates.
DOI: 10.6084/m9.figshare.3559935
title: Appendix E. Connectivity parameter estimates from best models.

description: Connectivity parameter estimates from best models.
DOI: 10.6084/m9.figshare.3559935.v1
title: Appendix E. Connectivity parameter estimates from best models.

description: Connectivity parameter estimates from best models.
DOI: 10.6084/m9.figshare.3559932
title: Appendix A. Expanded details on the literature review, additional explanatory variables tested, and how metadata with polynomial model results were treated.

description: Expanded details on the literature review, additional explanatory variables tested, and how metadata with polynomial model results were treated.
DOI: 10.6084/m9.figshare.3559932.v1
title: Appendix A. Expanded details on the literature review, additional explanatory variables tested, and how metadata with polynomial model results were treated.

description: Expanded details on the literature review, additional explanatory variables tested, and how metadata with polynomial model results were treated.
DOI: 10.6084/m9.figshare.3559929
title: Appendix B. Literature reference list of all studies used in the meta-analysis.

description: Literature reference list of all studies used in the meta-analysis.
DOI: 10.6084/m9.figshare.3559929.v1
title: Appendix B. Literature reference list of all studies used in the meta-analysis.

description: Literature reference list of all studies used in the meta-analysis.
DOI: 10.6084/m9.figshare.3559923
title: Appendix A. Statistical models.

description: Statistical models.
DOI: 10.6084/m9.figshare.3559923.v1
title: Appendix A. Statistical models.

description: Statistical models.
DOI: 10.6084/m9.figshare.3559920
title: Appendix A. Confidence intervals, hypothesis tests, and model selection for the Ornstein-Uhlenbeck state-space model.

description: Confidence intervals, hypothesis tests, and model selection for the Ornstein-Uhlenbeck state-space model.
DOI: 10.6084/m9.figshare.3559920.v1
title: Appendix A. Confidence intervals, hypothesis tests, and model selection for the Ornstein-Uhlenbeck state-space model.

description: Confidence intervals, hypothesis tests, and model selection for the Ornstein-Uhlenbeck state-space model.
DOI: 10.6084/m9.figshare.3559917
title: Supplement 1. R scripts for calculating maximum likelihood estimates, restricted maximum likelihood estimates, and parametric bootstrap likelihood ratio tests of density dependence, for the Ornstein-Uhlenbeck state-space model, using population-abundance data having possibly unequal observation time intervals.

description: File List RUNNING-ROUSS.R (MD5: c07b061d09a71a54d0a0f70844ef9d77) RUNNING-PBLRT.R (MD5: f786fefc7684bd3bd099a1f682babaa5) ROUSSE-1.0.R (MD5: d3ced6b948020ce1231da2262e3f0648) Description This supplement contains three R scripts: (1) RUNNING-ROUSS.R calculates maximum likelihood and restricted maximum likelihood estimates for the Ornstein Uhlenbeck state space model (stationary and non-stationary), using population-abundance data having possibly unequal observation time intervals. (2) RUNNING-PBLRT.R performs parametric bootstrap likelihood ratio test of exponential growth state space model vs. Ornstein-Uhlenbeck state space model. (3) ROUSSE-1.0.R contains the functions used in statistical inferences for the Ornstein-Uhlenbeck state space model. ROUSSE-1.0.R is called by both RUNNING-ROUSS.R and RUNNING-PBLRT.R and must be present (as a file by that name) in the working directory of R.
DOI: 10.6084/m9.figshare.3559917.v1
title: Supplement 1. R scripts for calculating maximum likelihood estimates, restricted maximum likelihood estimates, and parametric bootstrap likelihood ratio tests of density dependence, for the Ornstein-Uhlenbeck state-space model, using population-abundance data having possibly unequal observation time intervals.

description: File List RUNNING-ROUSS.R (MD5: c07b061d09a71a54d0a0f70844ef9d77) RUNNING-PBLRT.R (MD5: f786fefc7684bd3bd099a1f682babaa5) ROUSSE-1.0.R (MD5: d3ced6b948020ce1231da2262e3f0648) Description This supplement contains three R scripts: (1) RUNNING-ROUSS.R calculates maximum likelihood and restricted maximum likelihood estimates for the Ornstein Uhlenbeck state space model (stationary and non-stationary), using population-abundance data having possibly unequal observation time intervals. (2) RUNNING-PBLRT.R performs parametric bootstrap likelihood ratio test of exponential growth state space model vs. Ornstein-Uhlenbeck state space model. (3) ROUSSE-1.0.R contains the functions used in statistical inferences for the Ornstein-Uhlenbeck state space model. ROUSSE-1.0.R is called by both RUNNING-ROUSS.R and RUNNING-PBLRT.R and must be present (as a file by that name) in the working directory of R.
DOI: 10.6084/m9.figshare.3559914
title: Appendix A. Nitrogen-to-phosphorus (N:P) ratios in newly mature leaves, old leaves, stems, and roots for each of the fertilizer treatments.

description: Nitrogen-to-phosphorus (N:P) ratios in newly mature leaves, old leaves, stems, and roots for each of the fertilizer treatments.
DOI: 10.6084/m9.figshare.3559911
title: Appendix A. A description of the site, a summary of the functional group model (FGM), a statistical summary table, a figure with percent cover of each species, and a figure of fish abundances.

description: A description of the site, a summary of the functional group model (FGM), a statistical summary table, a figure with percent cover of each species, and a figure of fish abundances.
DOI: 10.6084/m9.figshare.3559911.v1
title: Appendix A. A description of the site, a summary of the functional group model (FGM), a statistical summary table, a figure with percent cover of each species, and a figure of fish abundances.

description: A description of the site, a summary of the functional group model (FGM), a statistical summary table, a figure with percent cover of each species, and a figure of fish abundances.
DOI: 10.6084/m9.figshare.3559908
title: Appendix A. Spatial patterns and simulations for all tree species from 1999 to 2012.

description: Spatial patterns and simulations for all tree species from 1999 to 2012.
DOI: 10.6084/m9.figshare.3559905
title: Appendix A. Additional figures describing data.

description: Additional figures describing data.
DOI: 10.6084/m9.figshare.3559905.v1
title: Appendix A. Additional figures describing data.

description: Additional figures describing data.
DOI: 10.6084/m9.figshare.3559902
title: Appendix B. Model fitting and selection.

description: Model fitting and selection.
DOI: 10.6084/m9.figshare.3559902.v1
title: Appendix B. Model fitting and selection.

description: Model fitting and selection.
DOI: 10.6084/m9.figshare.3559899
title: Supplement 1. Model-fitting code in R.

description: File List model_fitting_code.txt (MD5: c09ca8dc9c50bb86a7f5356bdba5af03) Description Within this supplement, we provide the essential code for model fitting and calculation of climatic sensitivities. We assume that the user has created vectors of data in their workspace as discussed in the commenting of the code below. We did not include code associated with graphing as we used standard functions in the R programming environment (see www.r-project.org/‎ for further information).
DOI: 10.6084/m9.figshare.3559899.v1
title: Supplement 1. Model-fitting code in R.

description: File List model_fitting_code.txt (MD5: c09ca8dc9c50bb86a7f5356bdba5af03) Description Within this supplement, we provide the essential code for model fitting and calculation of climatic sensitivities. We assume that the user has created vectors of data in their workspace as discussed in the commenting of the code below. We did not include code associated with graphing as we used standard functions in the R programming environment (see www.r-project.org/‎ for further information).
DOI: 10.6084/m9.figshare.3559896
title: Appendix A. Pine matrix sampling and patch-matrix comparisons.

description: Pine matrix sampling and patch-matrix comparisons.
DOI: 10.6084/m9.figshare.3559893
title: Appendix B. Information on nest counts, social form determination, land use, and block orientation.

description: Information on nest counts, social form determination, land use, and block orientation.
DOI: 10.6084/m9.figshare.3559893.v1
title: Appendix B. Information on nest counts, social form determination, land use, and block orientation.

description: Information on nest counts, social form determination, land use, and block orientation.
DOI: 10.6084/m9.figshare.3559890
title: Appendix C. Rectangular patch and nest results, rarefaction curves, species list, and diversity measures.

description: Rectangular patch and nest results, rarefaction curves, species list, and diversity measures.
DOI: 10.6084/m9.figshare.3559887
title: Data Paper. Data Paper

description: File List BirdFuncDat.txt (MD5: d6197b2cd90ca3ece0a7393abbf8b7fc) MamFuncDat.txt (MD5: 59c3eee29d3ed0a33a002975a5a8cc75) BirdFuncDatSources.txt (MD5: e4793ab8baa813bba7d168a3d2d6b6a7) MamFuncDatSources.txt (MD5: 0c67fa8bf6b6ccb7a38fc5229f84508b) Description Species are characterized by physiological, behavioral, and ecological attributes that are all subject to varying evolutionary and ecological constraints and jointly determine their role and function in ecosystems. Attributes such as diet, foraging strata, foraging time, and body size, in particular, determine a large portion of the “Eltonian” niches of species. Here we present a global species-level compilation of these key attributes for all 9993 and 5400 extant bird and mammal species derived from key literature sources. Global handbooks and monographs allowed the consistent sourcing of attributes for most species. For diet and foraging stratum we followed a defined protocol to translate the verbal descriptions into standardized, semiquantitative information about relative importance of different categories. Together with body size (continuous) and activity time (categorical) this enables a much finer distinction of species’ foraging ecology than typical categorical guild assignments allow. Attributes lacking information for specific species were flagged, and interpolated values based on taxonomy were provided instead. The presented data set is limited by, among others, these select cases missing observed data, by errors and uncertainty in the expert assessment as presented in the literature, and by the lack of intraspecific information. However, the standardized and transparent nature and complete global coverage of the data set should support an array of potential studies in biogeography, community ecology, macroevolution, global change biology, and conservation. Potential uses include comparative work involving these traits as focal or secondary variables, ecological research on the trait or trophic structure of communities, or conservation science concerned with the loss of function among species or in ecosystems in a changing world. We hope that this publication will spur the sharing, collaborative curation, and extension of data to the benefit of a more integrative, rigorous, and global biodiversity science. <i>Key words</i>: <i>bird; body size; diet; eco-informatics; foraging; function; mammal; mass; niche; stratum; traits; vertebrate.</i>
DOI: 10.6084/m9.figshare.3559881
title: Data Paper. Data Paper

description: File List CForBioData_v1.0.txt (MD5: ab568043ef106964809368b1efad63e1) Description Forest biomass and its allocation have long been considered important in forest ecosystem structure and function. However, discrete forest biomass data and its allocation to various forest components must be standardized to explore many ecological questions, e.g., plant allometric scaling laws, biomass allocation theory, and terrestrial carbon cycling. Currently, available data sets focus either on regions other than China, or studies in China are spatially and/or temporally limited, e.g., specific habitats and/or time periods. Therefore, the applicability of conclusions to world or China forests might be problematic. Consequently, in the present study, published studies (during the 1978–2008 period) on biomass and its allocations in China’s forests (excluding Hong Kong, Macao, and Taiwan) were collected, critically reviewed, and a comprehensive forest biomass data set of China was developed. The data set included the following biomass data: tree overstory components (stems, branches, leaves, and roots, among all other plant material), the understory vegetation (saplings, shrubs, herbs, and mosses), woody liana vegetation, and the necromass components of dead organic matter (litterfall, suspended branches, and dead trees). Moreover, associated information was also included, i.e., geographical location, climate, soil fertility, stand description, sampling regime (the dimension and sample size of plots), and biomass measurement methods. The data set included 1607 entries for 348 study sites, which exhibited a broad spatial distribution, and covered broad climatic gradients (-5.1–23.8°C in mean annual temperature and 223–2515 mm in mean annual precipitation). Our data set can be used to verify the accuracy of models used to budget China’s forest carbon dynamics, and also provides an opportunity to further elucidate and confirm general principles and patterns in ecology. Finally, the data set is freely available for noncommercial scientific applications. <i>Key words</i>: <i>allocation; biomass; China; climate; forest type; necromass; stand structure.</i>
DOI: 10.6084/m9.figshare.3559881.v1
title: Data Paper. Data Paper

description: File List CForBioData_v1.0.txt (MD5: ab568043ef106964809368b1efad63e1) Description Forest biomass and its allocation have long been considered important in forest ecosystem structure and function. However, discrete forest biomass data and its allocation to various forest components must be standardized to explore many ecological questions, e.g., plant allometric scaling laws, biomass allocation theory, and terrestrial carbon cycling. Currently, available data sets focus either on regions other than China, or studies in China are spatially and/or temporally limited, e.g., specific habitats and/or time periods. Therefore, the applicability of conclusions to world or China forests might be problematic. Consequently, in the present study, published studies (during the 1978–2008 period) on biomass and its allocations in China’s forests (excluding Hong Kong, Macao, and Taiwan) were collected, critically reviewed, and a comprehensive forest biomass data set of China was developed. The data set included the following biomass data: tree overstory components (stems, branches, leaves, and roots, among all other plant material), the understory vegetation (saplings, shrubs, herbs, and mosses), woody liana vegetation, and the necromass components of dead organic matter (litterfall, suspended branches, and dead trees). Moreover, associated information was also included, i.e., geographical location, climate, soil fertility, stand description, sampling regime (the dimension and sample size of plots), and biomass measurement methods. The data set included 1607 entries for 348 study sites, which exhibited a broad spatial distribution, and covered broad climatic gradients (-5.1–23.8°C in mean annual temperature and 223–2515 mm in mean annual precipitation). Our data set can be used to verify the accuracy of models used to budget China’s forest carbon dynamics, and also provides an opportunity to further elucidate and confirm general principles and patterns in ecology. Finally, the data set is freely available for noncommercial scientific applications. <i>Key words</i>: <i>allocation; biomass; China; climate; forest type; necromass; stand structure.</i>
DOI: 10.6084/m9.figshare.3559878
title: Appendix A. Tables showing fitted values and species affinity to each archetype group for fish and invertebrates. Figures show the predicted probabilities and standard errors for each group, along with a brief description of the species attributes of that group.

description: Tables showing fitted values and species affinity to each archetype group for fish and invertebrates. Figures show the predicted probabilities and standard errors for each group, along with a brief description of the species attributes of that group.
DOI: 10.6084/m9.figshare.3559878.v1
title: Appendix A. Tables showing fitted values and species affinity to each archetype group for fish and invertebrates. Figures show the predicted probabilities and standard errors for each group, along with a brief description of the species attributes of that group.

description: Tables showing fitted values and species affinity to each archetype group for fish and invertebrates. Figures show the predicted probabilities and standard errors for each group, along with a brief description of the species attributes of that group.
DOI: 10.6084/m9.figshare.3559875
title: Appendix A. Data sources, selection, processing, and other considerations.

description: Data sources, selection, processing, and other considerations.
DOI: 10.6084/m9.figshare.3559872
title: Appendix B. Analysis of monthly variation in body mass in harbor porpoises that died due to bottlenose dolphin predation.

description: Analysis of monthly variation in body mass in harbor porpoises that died due to bottlenose dolphin predation.
DOI: 10.6084/m9.figshare.3559872.v1
title: Appendix B. Analysis of monthly variation in body mass in harbor porpoises that died due to bottlenose dolphin predation.

description: Analysis of monthly variation in body mass in harbor porpoises that died due to bottlenose dolphin predation.
DOI: 10.6084/m9.figshare.3559869
title: Appendix C. A thermo-energetic model of the starvation process in the harbor porpoise.

description: A thermo-energetic model of the starvation process in the harbor porpoise.
DOI: 10.6084/m9.figshare.3559869.v1
title: Appendix C. A thermo-energetic model of the starvation process in the harbor porpoise.

description: A thermo-energetic model of the starvation process in the harbor porpoise.
DOI: 10.6084/m9.figshare.3559866
title: Appendix D. Detailed descriptions of individual analyses used for testing specific hypotheses and predictions.

description: Detailed descriptions of individual analyses used for testing specific hypotheses and predictions.