cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3560646
title: Appendix A. Gap size and initial tree and liana biomass in the liana-removal and control gaps on Gigante Peninsula, Barro Colorado Nature Monument, Panama.

description: Gap size and initial tree and liana biomass in the liana-removal and control gaps on Gigante Peninsula, Barro Colorado Nature Monument, Panama.
DOI: 10.6084/m9.figshare.3560643
title: Appendix B. The ΔAICc values for the best fitting fixed and random effects mixed models.

description: The ΔAICc values for the best fitting fixed and random effects mixed models.
DOI: 10.6084/m9.figshare.3560643.v1
title: Appendix B. The ΔAICc values for the best fitting fixed and random effects mixed models.

description: The ΔAICc values for the best fitting fixed and random effects mixed models.
DOI: 10.6084/m9.figshare.3560640
title: Appendix C. Observed vs. predicted model tree aboveground biomass accumulation in the control and removal gaps during the 8-yr study period on Gigante Peninsula, Barro Colorado Nature Monument, Panama.

description: Observed vs. predicted model tree aboveground biomass accumulation in the control and removal gaps during the 8-yr study period on Gigante Peninsula, Barro Colorado Nature Monument, Panama.
DOI: 10.6084/m9.figshare.3560640.v1
title: Appendix C. Observed vs. predicted model tree aboveground biomass accumulation in the control and removal gaps during the 8-yr study period on Gigante Peninsula, Barro Colorado Nature Monument, Panama.

description: Observed vs. predicted model tree aboveground biomass accumulation in the control and removal gaps during the 8-yr study period on Gigante Peninsula, Barro Colorado Nature Monument, Panama.
DOI: 10.6084/m9.figshare.3560637
title: Appendix D. Aboveground biomass accumulation over an 8-yr period (1998–2006) in gaps on Gigante Peninsula, Barro Colorado Nature Monument, Panama.

description: Aboveground biomass accumulation over an 8-yr period (1998–2006) in gaps on Gigante Peninsula, Barro Colorado Nature Monument, Panama.
DOI: 10.6084/m9.figshare.3560637.v1
title: Appendix D. Aboveground biomass accumulation over an 8-yr period (1998–2006) in gaps on Gigante Peninsula, Barro Colorado Nature Monument, Panama.

description: Aboveground biomass accumulation over an 8-yr period (1998–2006) in gaps on Gigante Peninsula, Barro Colorado Nature Monument, Panama.
DOI: 10.6084/m9.figshare.3560634
title: Appendix A. Supplementary site data, correlation analyses, and figures displaying geographic trends in soil chemistry and mechanical properties.

description: Supplementary site data, correlation analyses, and figures displaying geographic trends in soil chemistry and mechanical properties.
DOI: 10.6084/m9.figshare.3560631
title: Data Paper. Data Paper

description: File List PopulationAbunMark-Recap.csv (MD5: 70a47c25ad7f7dc317474c883bf9dc18) PopulationAbunTransect.csv (MD5: e07c022497c4e70e2d4e86abf79b8083) Dispersal.csv (MD5: d425332598dd2cc8e3adb9f6513c9b47) Landscape.csv (MD5: b3712322e4d1c5347171cd1c2a36198f) Description Spatial population networks (metapopulations sensu lato) have distinct properties from isolated populations. Within a population network, the abundance, persistence, and dynamics of local populations are affected by other populations within the network. Similarly, the abundance of local populations within the network has a strong effect on the dynamics and persistence of the entire network. In this data paper, we present 10 years (1995–2004) of local population abundance and seven years of dispersal data within a spatial population network consisting of 21 local populations of the Rocky Mountain Apollo butterfly, Parnassius smintheus. Populations were located within alpine meadows above treeline (≈2100 m) along Lusk (51.01°N, 114.97°W) and Jumpingpound Ridges (50.95°N, 114.91°W) in the front ranges of the Rocky Mountains in Alberta, Canada. Mark–recapture methods were used to monitor all populations in 1995 and 1996, and most populations in 1997 and from 2001–2004. For these years, abundance was estimated using Craig’s method. In other years, population size was estimated via Pollard transects and converted to a common estimate of abundance based on a statistical relationship between transect counts and Craig’s estimate. We present multiple estimates of abundance for most populations over the adult flight season each year, and the observed number of emigrants and immigrants over the flight season for populations in years where mark–recapture was conducted. These data should be useful in synthetic studies of factors affecting local population abundance within spatial population networks, landscape genetics, spatial population dynamics, and the persistence of spatial population networks. <i>Key words</i>: <i>colonization; density; dispersal; extinction; fragmentation; landscape; Lepidoptera; metapopulation; migration; patch; population dynamics; recolonization.</i>
DOI: 10.6084/m9.figshare.3560631.v1
title: Data Paper. Data Paper

description: File List PopulationAbunMark-Recap.csv (MD5: 70a47c25ad7f7dc317474c883bf9dc18) PopulationAbunTransect.csv (MD5: e07c022497c4e70e2d4e86abf79b8083) Dispersal.csv (MD5: d425332598dd2cc8e3adb9f6513c9b47) Landscape.csv (MD5: b3712322e4d1c5347171cd1c2a36198f) Description Spatial population networks (metapopulations sensu lato) have distinct properties from isolated populations. Within a population network, the abundance, persistence, and dynamics of local populations are affected by other populations within the network. Similarly, the abundance of local populations within the network has a strong effect on the dynamics and persistence of the entire network. In this data paper, we present 10 years (1995–2004) of local population abundance and seven years of dispersal data within a spatial population network consisting of 21 local populations of the Rocky Mountain Apollo butterfly, Parnassius smintheus. Populations were located within alpine meadows above treeline (≈2100 m) along Lusk (51.01°N, 114.97°W) and Jumpingpound Ridges (50.95°N, 114.91°W) in the front ranges of the Rocky Mountains in Alberta, Canada. Mark–recapture methods were used to monitor all populations in 1995 and 1996, and most populations in 1997 and from 2001–2004. For these years, abundance was estimated using Craig’s method. In other years, population size was estimated via Pollard transects and converted to a common estimate of abundance based on a statistical relationship between transect counts and Craig’s estimate. We present multiple estimates of abundance for most populations over the adult flight season each year, and the observed number of emigrants and immigrants over the flight season for populations in years where mark–recapture was conducted. These data should be useful in synthetic studies of factors affecting local population abundance within spatial population networks, landscape genetics, spatial population dynamics, and the persistence of spatial population networks. <i>Key words</i>: <i>colonization; density; dispersal; extinction; fragmentation; landscape; Lepidoptera; metapopulation; migration; patch; population dynamics; recolonization.</i>
DOI: 10.6084/m9.figshare.3560628
title: Data Paper. Data Paper

description: File List bvd_genus_ag_030614.csv (md5: 3a6f1dc5c9be57c1d4db5731205cba50) bvd_genus_raw_030614.csv (md5: 9d8889b1d03b470bc60c812f7177f758) bvd_raw_052814.csv (md5: 4ca722dfae7703dc5efa585a1b4f60f2) bvd_species_ag_030614.csv (md5: b3638fd46f5d1518b8206bf96ea6bbaf) bvd_species_raw_030614.csv (md5: 1e3e815263e9d5a65dc5f91506ca30a3) taxa_table_030614.csv (md5: 147cbba2ba0fd96d33dd0eb9ad32a0e4) Description Cell size determination is a critical part of sampling phytoplankton communities, as size is both a fundamental trait determining species’ ecological niches and a quantity necessary for generating unbiased estimates of community composition. The sizes of algal cells span orders of magnitude, driving variation in growth parameters, sinking rates, herbivore defense, and biogeochemical roles. Size variation occurs at both intra- and interspecific levels. Many central questions in community and ecosystem ecology require estimating and comparing the relative abundances of species. Cell counts provide insufficient estimates, due to interspecific variation in cell size, as they over-estimate the importance of abundant, small species. While cell size (or biovolume) estimation has become standard practice in limnology, many valuable, older data sets lack this information, limiting their interpretation and utility. To address these challenges, and advance the study of freshwater phytoplankton communities, we have compiled a database of &gt;260 000 algal biovolume estimates, spanning ~400 genera and ~1200 species. This represents the most extensive, standardized, and taxonomically diverse data set of its kind, drawing on both publicly and privately held sources. Estimates of the sizes of colonies or filaments are included, where applicable. With this data researchers will be able to account for intra- and interspecific variation in cell size, enabling new and improved analyses of classic data sets. <i>Key words</i>: <i>biovolume; cell size; database; estuarine; freshwater; interspecific variation; intraspecific variation; natural unit; phytoplankton; trait estimation; traits.</i>
DOI: 10.6084/m9.figshare.3560625
title: Appendix A. Map of the location of the four study sites.

description: Map of the location of the four study sites.
DOI: 10.6084/m9.figshare.3560625.v1
title: Appendix A. Map of the location of the four study sites.

description: Map of the location of the four study sites.
DOI: 10.6084/m9.figshare.3560622
title: Appendix B. Forest site characteristics in 1984.

description: Forest site characteristics in 1984.
DOI: 10.6084/m9.figshare.3560622.v1
title: Appendix B. Forest site characteristics in 1984.

description: Forest site characteristics in 1984.
DOI: 10.6084/m9.figshare.3560619
title: Appendix C. Species’ relative susceptibility to hurricane damage as recorded in 1989.

description: Species’ relative susceptibility to hurricane damage as recorded in 1989.
DOI: 10.6084/m9.figshare.3560619.v1
title: Appendix C. Species’ relative susceptibility to hurricane damage as recorded in 1989.

description: Species’ relative susceptibility to hurricane damage as recorded in 1989.
DOI: 10.6084/m9.figshare.3560616
title: Appendix D. Hurricane damage effects on stem growth rates over time.

description: Hurricane damage effects on stem growth rates over time.
DOI: 10.6084/m9.figshare.3560616.v1
title: Appendix D. Hurricane damage effects on stem growth rates over time.

description: Hurricane damage effects on stem growth rates over time.
DOI: 10.6084/m9.figshare.3560613
title: Appendix E. Hurricane damage effects on tree growth rates for the most abundant species.

description: Hurricane damage effects on tree growth rates for the most abundant species.
DOI: 10.6084/m9.figshare.3560613.v1
title: Appendix E. Hurricane damage effects on tree growth rates for the most abundant species.

description: Hurricane damage effects on tree growth rates for the most abundant species.
DOI: 10.6084/m9.figshare.3560610
title: Appendix A. Study site and soil analysis methods.

description: Study site and soil analysis methods.
DOI: 10.6084/m9.figshare.3560610.v1
title: Appendix A. Study site and soil analysis methods.

description: Study site and soil analysis methods.
DOI: 10.6084/m9.figshare.3560607
title: Appendix B. Additional soil biogeochemical data.

description: Additional soil biogeochemical data.
DOI: 10.6084/m9.figshare.3560607.v1
title: Appendix B. Additional soil biogeochemical data.

description: Additional soil biogeochemical data.
DOI: 10.6084/m9.figshare.3560604
title: Appendix C. Additional statistical analyses assessing relationships between enzymes, sites, and soil characteristics.

description: Additional statistical analyses assessing relationships between enzymes, sites, and soil characteristics.
DOI: 10.6084/m9.figshare.3560604.v1
title: Appendix C. Additional statistical analyses assessing relationships between enzymes, sites, and soil characteristics.

description: Additional statistical analyses assessing relationships between enzymes, sites, and soil characteristics.
DOI: 10.6084/m9.figshare.3560601
title: Appendix D. Additional figures illustrating relationships between enzymes and soil characteristics.

description: Additional figures illustrating relationships between enzymes and soil characteristics.
DOI: 10.6084/m9.figshare.3560601.v1
title: Appendix D. Additional figures illustrating relationships between enzymes and soil characteristics.

description: Additional figures illustrating relationships between enzymes and soil characteristics.
DOI: 10.6084/m9.figshare.3560598
title: Appendix A. Detailed description of the empirical study and presence/absence models of species interactions, as well as the results of these simulations.

description: Detailed description of the empirical study and presence/absence models of species interactions, as well as the results of these simulations.
DOI: 10.6084/m9.figshare.3560598.v1
title: Appendix A. Detailed description of the empirical study and presence/absence models of species interactions, as well as the results of these simulations.

description: Detailed description of the empirical study and presence/absence models of species interactions, as well as the results of these simulations.
DOI: 10.6084/m9.figshare.3560595
title: Appendix B. Results including site-based variations in quantitative model responses.

description: Results including site-based variations in quantitative model responses.
DOI: 10.6084/m9.figshare.3560595.v1
title: Appendix B. Results including site-based variations in quantitative model responses.

description: Results including site-based variations in quantitative model responses.
DOI: 10.6084/m9.figshare.3560592
title: Supplement 1. R script file for the simulation models.

description: File List Russoetal_Supplement_Ecology.txt (MD5: 14cb593eaace37ce4c14943f04a041e1) Description Russoetal_Supplement_Ecology.txt contains the R code for both the quantitative and qualitative simulation models used in "Patterns of introduced species interactions affect multiple aspects of network structure in plant-pollinator communities," including all relevant packages and functions.
DOI: 10.6084/m9.figshare.3560592.v1
title: Supplement 1. R script file for the simulation models.

description: File List Russoetal_Supplement_Ecology.txt (MD5: 14cb593eaace37ce4c14943f04a041e1) Description Russoetal_Supplement_Ecology.txt contains the R code for both the quantitative and qualitative simulation models used in "Patterns of introduced species interactions affect multiple aspects of network structure in plant-pollinator communities," including all relevant packages and functions.
DOI: 10.6084/m9.figshare.3560589
title: Appendix A. Integral projection model (IPM) for ant effects on plant fitness.

description: Integral projection model (IPM) for ant effects on plant fitness.
DOI: 10.6084/m9.figshare.3560589.v1
title: Appendix A. Integral projection model (IPM) for ant effects on plant fitness.

description: Integral projection model (IPM) for ant effects on plant fitness.
DOI: 10.6084/m9.figshare.3560586
title: Appendix A. P and R² values for regressions between all predictor variables.

description: P and R² values for regressions between all predictor variables.
DOI: 10.6084/m9.figshare.3560583
title: Appendix B. Description of the chosen principal component axes.

description: Description of the chosen principal component axes.
DOI: 10.6084/m9.figshare.3560583.v1
title: Appendix B. Description of the chosen principal component axes.

description: Description of the chosen principal component axes.
DOI: 10.6084/m9.figshare.3560580
title: Appendix C. Standardized slopes, P and R² values for all models.

description: Standardized slopes, P and R² values for all models.
DOI: 10.6084/m9.figshare.3560580.v1
title: Appendix C. Standardized slopes, P and R² values for all models.

description: Standardized slopes, P and R² values for all models.
DOI: 10.6084/m9.figshare.3560577
title: Appendix D. Biplot of the first two principle components.

description: Biplot of the first two principle components.
DOI: 10.6084/m9.figshare.3560577.v1
title: Appendix D. Biplot of the first two principle components.

description: Biplot of the first two principle components.
DOI: 10.6084/m9.figshare.3560574
title: Appendix E. Temperature variables most strongly correlated with herbivory.

description: Temperature variables most strongly correlated with herbivory.
DOI: 10.6084/m9.figshare.3560574.v1
title: Appendix E. Temperature variables most strongly correlated with herbivory.

description: Temperature variables most strongly correlated with herbivory.
DOI: 10.6084/m9.figshare.3560571
title: Appendix F. Plot of principal component axes against herbivory measures.

description: Plot of principal component axes against herbivory measures.
DOI: 10.6084/m9.figshare.3560571.v1
title: Appendix F. Plot of principal component axes against herbivory measures.

description: Plot of principal component axes against herbivory measures.
DOI: 10.6084/m9.figshare.3560568
title: Appendix A. Plot of cumulative (end-of-season, year 2) insect herbivory by composition treatment and plot of community productivity (total mesocosm biomass) across composition and herbivory treatments and years.

description: Plot of cumulative (end-of-season, year 2) insect herbivory by composition treatment and plot of community productivity (total mesocosm biomass) across composition and herbivory treatments and years.
DOI: 10.6084/m9.figshare.3560568.v1
title: Appendix A. Plot of cumulative (end-of-season, year 2) insect herbivory by composition treatment and plot of community productivity (total mesocosm biomass) across composition and herbivory treatments and years.

description: Plot of cumulative (end-of-season, year 2) insect herbivory by composition treatment and plot of community productivity (total mesocosm biomass) across composition and herbivory treatments and years.
DOI: 10.6084/m9.figshare.3560565
title: Appendix B. Summary tables of statistical analyses of the effects of community context on herbivory and of the impacts of herbivory on community structure.

description: Summary tables of statistical analyses of the effects of community context on herbivory and of the impacts of herbivory on community structure.
DOI: 10.6084/m9.figshare.3560565.v1
title: Appendix B. Summary tables of statistical analyses of the effects of community context on herbivory and of the impacts of herbivory on community structure.

description: Summary tables of statistical analyses of the effects of community context on herbivory and of the impacts of herbivory on community structure.
DOI: 10.6084/m9.figshare.3560562
title: Appendix A. Map of study plot, photo of experimental cage, table of parameter estimates, and density dependence regression.

description: Map of study plot, photo of experimental cage, table of parameter estimates, and density dependence regression.
DOI: 10.6084/m9.figshare.3560559
title: Supplement 1. R script for model fitting and data file.

description: File List R Supplement.R (MD5: 93abaccfdd8c591e3484b4f98a4dfb20) gall data.csv (MD5: 632a06517a792a51a105ca6bf2f39103) Description R Supplement.R - An R script for fitting models representing hypotheses 1–6, including a brute force search that checks that the maximum-likelihood estimates are global optimum. gall data.csv - comma delimited text file of experimental data. g11 is galls on plants in 2011, f11 is female flies placed on plants in 2011, and g12 is galls recruited in 2012.
DOI: 10.6084/m9.figshare.3560556
title: Appendix A. Results from statistical models testing for changes in selection on Ruellia nudiflora fruit number across trophic scenarios and levels of plant genotype diversity.

description: Results from statistical models testing for changes in selection on Ruellia nudiflora fruit number across trophic scenarios and levels of plant genotype diversity.
DOI: 10.6084/m9.figshare.3560556.v1
title: Appendix A. Results from statistical models testing for changes in selection on Ruellia nudiflora fruit number across trophic scenarios and levels of plant genotype diversity.

description: Results from statistical models testing for changes in selection on Ruellia nudiflora fruit number across trophic scenarios and levels of plant genotype diversity.
DOI: 10.6084/m9.figshare.3560553
title: Appendix A. Description of the experimental design and sampling location.

description: Description of the experimental design and sampling location.
DOI: 10.6084/m9.figshare.3560550
title: Appendix B. Unbalanced sampling design assessment.

description: Unbalanced sampling design assessment.
DOI: 10.6084/m9.figshare.3560550.v1
title: Appendix B. Unbalanced sampling design assessment.

description: Unbalanced sampling design assessment.
DOI: 10.6084/m9.figshare.3560547
title: Appendix C. Soil analyses.

description: Soil analyses.
DOI: 10.6084/m9.figshare.3560547.v1
title: Appendix C. Soil analyses.

description: Soil analyses.
DOI: 10.6084/m9.figshare.3560544
title: Appendix D. List of sampled taxa and trophic guilds.

description: List of sampled taxa and trophic guilds.
DOI: 10.6084/m9.figshare.3560541
title: Appendix E. Partial Mantel test table.

description: Partial Mantel test table.
DOI: 10.6084/m9.figshare.3560541.v1
title: Appendix E. Partial Mantel test table.

description: Partial Mantel test table.
DOI: 10.6084/m9.figshare.3560538
title: Appendix A. A detailed description for classifying correlogram “shape” into directional, periodic, or random movements, also including background information on the method and a simulation to further illustrate it.

description: A detailed description for classifying correlogram “shape” into directional, periodic, or random movements, also including background information on the method and a simulation to further illustrate it.
DOI: 10.6084/m9.figshare.3560538.v1
title: Appendix A. A detailed description for classifying correlogram “shape” into directional, periodic, or random movements, also including background information on the method and a simulation to further illustrate it.

description: A detailed description for classifying correlogram “shape” into directional, periodic, or random movements, also including background information on the method and a simulation to further illustrate it.
DOI: 10.6084/m9.figshare.3560535
title: Appendix B. Model selection statistics for generalized linear mixed models investigating correlogram shape (directional, periodic, and random movements) of lion movement paths in Hwange National Park.

description: Model selection statistics for generalized linear mixed models investigating correlogram shape (directional, periodic, and random movements) of lion movement paths in Hwange National Park.
DOI: 10.6084/m9.figshare.3560535.v1
title: Appendix B. Model selection statistics for generalized linear mixed models investigating correlogram shape (directional, periodic, and random movements) of lion movement paths in Hwange National Park.

description: Model selection statistics for generalized linear mixed models investigating correlogram shape (directional, periodic, and random movements) of lion movement paths in Hwange National Park.
DOI: 10.6084/m9.figshare.3560532
title: Appendix C. Model selection statistics for mixed-effects linear models investigating lion movement parameters (net displacement, path length, and speed) in Hwange National Park.

description: Model selection statistics for mixed-effects linear models investigating lion movement parameters (net displacement, path length, and speed) in Hwange National Park.
DOI: 10.6084/m9.figshare.3560532.v1
title: Appendix C. Model selection statistics for mixed-effects linear models investigating lion movement parameters (net displacement, path length, and speed) in Hwange National Park.

description: Model selection statistics for mixed-effects linear models investigating lion movement parameters (net displacement, path length, and speed) in Hwange National Park.