cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3562047
title: Appendix B. Tables illustrating statistical test results and descriptive statistics of tissue stoichiometry and community composition, and figures displaying tissue C:P ratios and community composition of trees.

description: Tables illustrating statistical test results and descriptive statistics of tissue stoichiometry and community composition, and figures displaying tissue C:P ratios and community composition of trees.
DOI: 10.6084/m9.figshare.3562047.v1
title: Appendix B. Tables illustrating statistical test results and descriptive statistics of tissue stoichiometry and community composition, and figures displaying tissue C:P ratios and community composition of trees.

description: Tables illustrating statistical test results and descriptive statistics of tissue stoichiometry and community composition, and figures displaying tissue C:P ratios and community composition of trees.
DOI: 10.6084/m9.figshare.3562044
title: Appendix A. List of all sampling locations, dates, and coordinates.

description: List of all sampling locations, dates, and coordinates.
DOI: 10.6084/m9.figshare.3562041
title: Appendix B. List of regional sampling dates and temperatures.

description: List of regional sampling dates and temperatures.
DOI: 10.6084/m9.figshare.3562041.v1
title: Appendix B. List of regional sampling dates and temperatures.

description: List of regional sampling dates and temperatures.
DOI: 10.6084/m9.figshare.3562038
title: Appendix C. Equations and fits statistics for fitted thermal performance curves.

description: Equations and fits statistics for fitted thermal performance curves.
DOI: 10.6084/m9.figshare.3562038.v1
title: Appendix C. Equations and fits statistics for fitted thermal performance curves.

description: Equations and fits statistics for fitted thermal performance curves.
DOI: 10.6084/m9.figshare.3562035
title: Appendix A. Mathematical derivation of the Lost-habitat SAR model (LH-SAR).

description: Mathematical derivation of the Lost-habitat SAR model (LH-SAR).
DOI: 10.6084/m9.figshare.3562035.v1
title: Appendix A. Mathematical derivation of the Lost-habitat SAR model (LH-SAR).

description: Mathematical derivation of the Lost-habitat SAR model (LH-SAR).
DOI: 10.6084/m9.figshare.3562032
title: Appendix B. List of the bird species names included in this study.

description: List of the bird species names included in this study.
DOI: 10.6084/m9.figshare.3562032.v1
title: Appendix B. List of the bird species names included in this study.

description: List of the bird species names included in this study.
DOI: 10.6084/m9.figshare.3562029
title: Appendix C. The empirical test of the Countryside Model.

description: The empirical test of the Countryside Model.
DOI: 10.6084/m9.figshare.3562029.v1
title: Appendix C. The empirical test of the Countryside Model.

description: The empirical test of the Countryside Model.
DOI: 10.6084/m9.figshare.3562026
title: Appendix D. The proportion of human-dominated land cover that is available for bird species explained by remote-sensed land cover types.

description: The proportion of human-dominated land cover that is available for bird species explained by remote-sensed land cover types.
DOI: 10.6084/m9.figshare.3562026.v1
title: Appendix D. The proportion of human-dominated land cover that is available for bird species explained by remote-sensed land cover types.

description: The proportion of human-dominated land cover that is available for bird species explained by remote-sensed land cover types.
DOI: 10.6084/m9.figshare.3562023
title: Appendix E. The effects of the two biomes (Laurentian Shield and Mixed-wood plains) on patterns of species richness.

description: The effects of the two biomes (Laurentian Shield and Mixed-wood plains) on patterns of species richness.
DOI: 10.6084/m9.figshare.3562023.v1
title: Appendix E. The effects of the two biomes (Laurentian Shield and Mixed-wood plains) on patterns of species richness.

description: The effects of the two biomes (Laurentian Shield and Mixed-wood plains) on patterns of species richness.
DOI: 10.6084/m9.figshare.3562020
title: Appendix F. The peaked relationship between total avian species richness and the proportion of natural land cover reconstructed by the sum of two derived species-area models.

description: The peaked relationship between total avian species richness and the proportion of natural land cover reconstructed by the sum of two derived species-area models.
DOI: 10.6084/m9.figshare.3562020.v1
title: Appendix F. The peaked relationship between total avian species richness and the proportion of natural land cover reconstructed by the sum of two derived species-area models.

description: The peaked relationship between total avian species richness and the proportion of natural land cover reconstructed by the sum of two derived species-area models.
DOI: 10.6084/m9.figshare.3562014
title: Appendix A. A map of the study region, schematic overview of the variables used in the alternative models, and additional statistical details on the structural equation models.

description: A map of the study region, schematic overview of the variables used in the alternative models, and additional statistical details on the structural equation models.
DOI: 10.6084/m9.figshare.3562014.v1
title: Appendix A. A map of the study region, schematic overview of the variables used in the alternative models, and additional statistical details on the structural equation models.

description: A map of the study region, schematic overview of the variables used in the alternative models, and additional statistical details on the structural equation models.
DOI: 10.6084/m9.figshare.3562011
title: Appendix A. Supplementary figures showing scaling between carbon and nitrogen in soil and stream water, a simplified watershed nitrogen budget, and a table showing seasonal changes in carbon and nitrogen within a small watershed in Costa Rica.

description: Supplementary figures showing scaling between carbon and nitrogen in soil and stream water, a simplified watershed nitrogen budget, and a table showing seasonal changes in carbon and nitrogen within a small watershed in Costa Rica.
DOI: 10.6084/m9.figshare.3562011.v1
title: Appendix A. Supplementary figures showing scaling between carbon and nitrogen in soil and stream water, a simplified watershed nitrogen budget, and a table showing seasonal changes in carbon and nitrogen within a small watershed in Costa Rica.

description: Supplementary figures showing scaling between carbon and nitrogen in soil and stream water, a simplified watershed nitrogen budget, and a table showing seasonal changes in carbon and nitrogen within a small watershed in Costa Rica.
DOI: 10.6084/m9.figshare.3562008
title: Appendix A. Taxa found in Catchments 53, 54, and 55 over the 37-year data collection period.

description: Taxa found in Catchments 53, 54, and 55 over the 37-year data collection period.
DOI: 10.6084/m9.figshare.3562005
title: Appendix B. RIA results of functional feeding group abundance and biomass comparisons between Catchments 53 and 55.

description: RIA results of functional feeding group abundance and biomass comparisons between Catchments 53 and 55.
DOI: 10.6084/m9.figshare.3562005.v1
title: Appendix B. RIA results of functional feeding group abundance and biomass comparisons between Catchments 53 and 55.

description: RIA results of functional feeding group abundance and biomass comparisons between Catchments 53 and 55.
DOI: 10.6084/m9.figshare.3562002
title: Appendix A. Reparameterizing the spatial and nonspatial Gompertz models as autoregressive models.

description: Reparameterizing the spatial and nonspatial Gompertz models as autoregressive models.
DOI: 10.6084/m9.figshare.3562002.v1
title: Appendix A. Reparameterizing the spatial and nonspatial Gompertz models as autoregressive models.

description: Reparameterizing the spatial and nonspatial Gompertz models as autoregressive models.
DOI: 10.6084/m9.figshare.3561999
title: Appendix B. Stochastic partial differential equation approximation to Gaussian random fields.

description: Stochastic partial differential equation approximation to Gaussian random fields.
DOI: 10.6084/m9.figshare.3561999.v1
title: Appendix B. Stochastic partial differential equation approximation to Gaussian random fields.

description: Stochastic partial differential equation approximation to Gaussian random fields.
DOI: 10.6084/m9.figshare.3561996
title: Appendix C. JAGS implementation of the spatial Gompertz model using the recursive parameterization.

description: JAGS implementation of the spatial Gompertz model using the recursive parameterization.
DOI: 10.6084/m9.figshare.3561996.v1
title: Appendix C. JAGS implementation of the spatial Gompertz model using the recursive parameterization.

description: JAGS implementation of the spatial Gompertz model using the recursive parameterization.
DOI: 10.6084/m9.figshare.3561993
title: Appendix D. Power analysis when varying the number of stations sampled per year.

description: Power analysis when varying the number of stations sampled per year.
DOI: 10.6084/m9.figshare.3561993.v1
title: Appendix D. Power analysis when varying the number of stations sampled per year.

description: Power analysis when varying the number of stations sampled per year.
DOI: 10.6084/m9.figshare.3561990
title: Supplement 1. Code necessary for replicating the simulation analysis included in this study.

description: File List Sim_test--for_supplements.R (MD5: 72de36cc9ed0d160bcc896f01b460289) spacetime_v7d.CPP (MD5: 2d70d0c4c10f0424ac1bb6ae8c071acb) time_v2d.CPP (MD5: 6eb16d0e5808fed12ed12d1d11594e5d) Description Sim_test--for_supplements.R – File containing R script used to run simulation experiment comparing the estimation performance of the spatial and non-spatial Gompertz models.<br> spacetime_v7d.CPP – File containing the model specification for the spatial Gompertz model, implemented in Template Model Builder. <br> time_v2d.CPP – File containing the model specification for the nonspatial Gompertz model, implemented in Template Model Builder.
DOI: 10.6084/m9.figshare.3561987
title: Appendix A. Simulation results based on two theoretical abundance distributions and four large empirical surveys.

description: Simulation results based on two theoretical abundance distributions and four large empirical surveys.
DOI: 10.6084/m9.figshare.3561984
title: Appendix B. A generalization of Good-Turing sample coverage theory.

description: A generalization of Good-Turing sample coverage theory.
DOI: 10.6084/m9.figshare.3561981
title: Appendix C. Other models for the relative abundances of the undetected species.

description: Other models for the relative abundances of the undetected species.
DOI: 10.6084/m9.figshare.3561978
title: Appendix D. Unveiling the species-rank incidence distribution for incidence data.

description: Unveiling the species-rank incidence distribution for incidence data.
DOI: 10.6084/m9.figshare.3561975
title: Appendix E. Estimating diversity profile based on the proposed RAD estimator (for abundance data).

description: Estimating diversity profile based on the proposed RAD estimator (for abundance data).
DOI: 10.6084/m9.figshare.3561975.v1
title: Appendix E. Estimating diversity profile based on the proposed RAD estimator (for abundance data).

description: Estimating diversity profile based on the proposed RAD estimator (for abundance data).
DOI: 10.6084/m9.figshare.3561972
title: Supplement 1. R code for JADE (Joint species-rank Abundance Distribution/Estimation) based on individual-based (abundance) and sampling-unit-based (incidence) data.

description: File List JADE.R (MD5: 31757e7a2d9de9266d235d61d8e48f61) Description JADE.R –R code for computing the estimated complete species-rank abundance distribution (RAD) based on individual-based (abundance) and sampling-unit-based (incidence) data. The estimated complete RAD includes two parts: (i) the adjusted relative abundances for the set of species detected in the sample, and (ii) the estimated relative abundances for the set of species undetected in the sample but inferred to be present in the assemblage. Then the two parts are jointly combined to obtain the complete RAD estimator.
DOI: 10.6084/m9.figshare.3561969
title: Appendix A. Notions of space use and their estimators.

description: Notions of space use and their estimators.
DOI: 10.6084/m9.figshare.3561966
title: Appendix B. Derivations of conventional and autocorrelated kernel-density estimators.

description: Derivations of conventional and autocorrelated kernel-density estimators.
DOI: 10.6084/m9.figshare.3561963
title: Appendix C. Notes on autocorrelation estimation.

description: Notes on autocorrelation estimation.
DOI: 10.6084/m9.figshare.3561960
title: Appendix A. Supplemental examples of multispatial CCM analyses for: Spatial "convergent cross mapping" to detect causal relationships from short time-series.

description: Supplemental examples of multispatial CCM analyses for: Spatial "convergent cross mapping" to detect causal relationships from short time-series.
DOI: 10.6084/m9.figshare.3561960.v1
title: Appendix A. Supplemental examples of multispatial CCM analyses for: Spatial "convergent cross mapping" to detect causal relationships from short time-series.

description: Supplemental examples of multispatial CCM analyses for: Spatial "convergent cross mapping" to detect causal relationships from short time-series.
DOI: 10.6084/m9.figshare.3561954
title: Appendix A. 210Pb radioisotope activity data used to date the sediment cores.

description: 210Pb radioisotope activity data used to date the sediment cores.
DOI: 10.6084/m9.figshare.3561954.v1
title: Appendix A. 210Pb radioisotope activity data used to date the sediment cores.

description: 210Pb radioisotope activity data used to date the sediment cores.
DOI: 10.6084/m9.figshare.3561951
title: Appendix B. Results of principle components analysis of Cd, Pb, Hg, and Zn in the four study lakes.

description: Results of principle components analysis of Cd, Pb, Hg, and Zn in the four study lakes.
DOI: 10.6084/m9.figshare.3561951.v1
title: Appendix B. Results of principle components analysis of Cd, Pb, Hg, and Zn in the four study lakes.

description: Results of principle components analysis of Cd, Pb, Hg, and Zn in the four study lakes.
DOI: 10.5281/zenodo.3989572
title: Filling Africa's largest hydropower dam should consider engineering realities

description: This repository contains engineering data for the Grand Ethiopian Renaissance Dam, including reservoir geometry, evaporation rates, tailwater curve, and outlet capacities.
DOI: 10.6084/m9.figshare.3561948
title: Appendix C. Additional data regarding juvenile mortality and hatching rates from the various time periods from which Daphnia were successfully hatched from the four study lakes.

description: Additional data regarding juvenile mortality and hatching rates from the various time periods from which Daphnia were successfully hatched from the four study lakes.
DOI: 10.6084/m9.figshare.3561948.v1
title: Appendix C. Additional data regarding juvenile mortality and hatching rates from the various time periods from which Daphnia were successfully hatched from the four study lakes.

description: Additional data regarding juvenile mortality and hatching rates from the various time periods from which Daphnia were successfully hatched from the four study lakes.
DOI: 10.5281/zenodo.3989571
title: Filling Africa's largest hydropower dam should consider engineering realities

description: This repository contains engineering data for the Grand Ethiopian Renaissance Dam, including reservoir geometry, evaporation rates, tailwater curve, and outlet capacities.
DOI: 10.6084/m9.figshare.3561945
title: Appendix A. Density independent development and comparison to previous theory.

description: Density independent development and comparison to previous theory.
DOI: 10.6084/m9.figshare.3561945.v1
title: Appendix A. Density independent development and comparison to previous theory.

description: Density independent development and comparison to previous theory.
DOI: 10.6084/m9.figshare.3561942
title: Appendix B. Equilibrium and stability analysis.

description: Equilibrium and stability analysis.
DOI: 10.6084/m9.figshare.3561942.v1
title: Appendix B. Equilibrium and stability analysis.

description: Equilibrium and stability analysis.
DOI: 10.6084/m9.figshare.3561939
title: Appendix C. Stability analysis when quality types vary in other parameters.

description: Stability analysis when quality types vary in other parameters.
DOI: 10.6084/m9.figshare.3561939.v1
title: Appendix C. Stability analysis when quality types vary in other parameters.

description: Stability analysis when quality types vary in other parameters.
DOI: 10.6084/m9.figshare.3561936
title: Data Paper. Data Paper

description: File List HeteropteraMorphometricTraits.txt (MD5: a1b2dd57f22c84ad491f4d27a7397db0) HeteropteraMorphometricTraitsRAW.txt (MD5: b961a75fd0f1e833dc01c6e93e424d83) Description Trait-based approaches have increased significantly in community ecology during the last decade. This is not least because studies on biodiversity–ecosystem functioning relationships became a major topic in ecology. Species’ functions in ecosystems are mediated by their traits. For a better understanding of the relationships between environmental drivers, the community composition of organisms and ecosystems functioning, it is crucial to understand how these relationships are mediated by the communities’ trait composition. While there are world-wide efforts to set up trait databases, most have so far focused on plants and species-poorer taxa such as birds or amphibians. In contrast, for insects, the large number of species makes the gathering of comparable trait data a challenging task. In addition, there is the danger that generic trait information, which is available from common textbooks, may not be sufficient to detect the response of insect communities to environmental change or the consequences of trait changes for ecosystem functioning. One method to overcome this is to take morphometric measurements of species. In this study we measured morphometric traits of a total of 179 Heteroptera species that were sampled by sweep-netting on a total of 150 managed grassland plots across three regions in Germany between 2008 and 2012. These plots represent the whole range of grassland management intensities from extensively used pastures to mown pastures to intensively managed and fertilized meadows. In this paper we provide a database of mean values of 23 morphometric measures across sex and morphotypes for each sampled Heteroptera species. Morphological traits are assumed to be related to their adaptation and function in the environment. Thus the relative morphometric traits can be used as proxies for ecological features of a species that may affect its performance or fitness. Our database can be used by future trait-based studies for developing and testing hypotheses of the functional significance of these traits. Examples include studying the functional responses of insect communities to environmental drivers or studying how the change in trait composition affects ecosystem processes. <i>Key words</i>: <i>antenna length; body shape; body size; eye size; femur shape; insects; land-use intensity; leg length; rostrum length; true bugs; wing length.</i>
DOI: 10.6084/m9.figshare.3561933
title: Appendix A. Description of toxicity tests and modeling, as well as additional results.

description: Description of toxicity tests and modeling, as well as additional results.
DOI: 10.6084/m9.figshare.3561930
title: Appendix A. Full sample size per treatment and response variable for each species.

description: Full sample size per treatment and response variable for each species.
DOI: 10.6084/m9.figshare.3561930.v1
title: Appendix A. Full sample size per treatment and response variable for each species.

description: Full sample size per treatment and response variable for each species.
DOI: 10.6084/m9.figshare.3561927
title: Appendix A. Table identifying the Phragmites australis patches included in this study, and their continent of origin, haplotype, latitude, longitude, and area.

description: Table identifying the Phragmites australis patches included in this study, and their continent of origin, haplotype, latitude, longitude, and area.
DOI: 10.6084/m9.figshare.3561924
title: Appendix B. Detailed census procedures and statistical methods.

description: Detailed census procedures and statistical methods.
DOI: 10.6084/m9.figshare.3561924.v1
title: Appendix B. Detailed census procedures and statistical methods.

description: Detailed census procedures and statistical methods.
DOI: 10.6084/m9.figshare.3561921
title: Appendix C. Tables of model selection results based on Akaike Information Criteria corrected for finite sample size (AICc).

description: Tables of model selection results based on Akaike Information Criteria corrected for finite sample size (AICc).
DOI: 10.6084/m9.figshare.3561918
title: Appendix D. Box and whisker plots for the distribution of herbivory between native and invasive genotypes in North America, and between European genotypes in their native (EU) and invasive (NA) range.

description: Box and whisker plots for the distribution of herbivory between native and invasive genotypes in North America, and between European genotypes in their native (EU) and invasive (NA) range.
DOI: 10.6084/m9.figshare.3561915
title: Appendix E. Plots of the relationships between herbivory (from each of the three herbivore guilds) and plant nutritional, defense, and patch-related variables.

description: Plots of the relationships between herbivory (from each of the three herbivore guilds) and plant nutritional, defense, and patch-related variables.
DOI: 10.6084/m9.figshare.3561915.v1
title: Appendix E. Plots of the relationships between herbivory (from each of the three herbivore guilds) and plant nutritional, defense, and patch-related variables.

description: Plots of the relationships between herbivory (from each of the three herbivore guilds) and plant nutritional, defense, and patch-related variables.
DOI: 10.6084/m9.figshare.3561912
title: Appendix A. Spatial regression slope and r² values for each year from 1982 to 2006.

description: Spatial regression slope and r² values for each year from 1982 to 2006.
DOI: 10.6084/m9.figshare.3561909
title: Appendix B. Maps showing geographic distributions of temporal regression slopes between richness and NDVI, abundance and NDVI, and richness and abundance.

description: Maps showing geographic distributions of temporal regression slopes between richness and NDVI, abundance and NDVI, and richness and abundance.
DOI: 10.6084/m9.figshare.3561909.v1
title: Appendix B. Maps showing geographic distributions of temporal regression slopes between richness and NDVI, abundance and NDVI, and richness and abundance.

description: Maps showing geographic distributions of temporal regression slopes between richness and NDVI, abundance and NDVI, and richness and abundance.
DOI: 10.6084/m9.figshare.3561906
title: Appendix A. Sample size and network size for each year from 1998 to 2011.

description: Sample size and network size for each year from 1998 to 2011.
DOI: 10.6084/m9.figshare.3561906.v1
title: Appendix A. Sample size and network size for each year from 1998 to 2011.

description: Sample size and network size for each year from 1998 to 2011.
DOI: 10.6084/m9.figshare.3561903
title: Appendix B. List of species (cavity-nesting vertebrates) in the network.

description: List of species (cavity-nesting vertebrates) in the network.
DOI: 10.6084/m9.figshare.3561903.v1
title: Appendix B. List of species (cavity-nesting vertebrates) in the network.

description: List of species (cavity-nesting vertebrates) in the network.
DOI: 10.6084/m9.figshare.3561900
title: Appendix C. Fourteen annual networks of cavity-nesting vertebrates, 1998–2011.

description: Fourteen annual networks of cavity-nesting vertebrates, 1998–2011.