cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3558939
title: Appendix H. The size–TL relationship for the seven K-means groups and the corresponding log ISD.

description: The size–TL relationship for the seven K-means groups and the corresponding log ISD.
DOI: 10.6084/m9.figshare.3558939.v1
title: Appendix H. The size–TL relationship for the seven K-means groups and the corresponding log ISD.

description: The size–TL relationship for the seven K-means groups and the corresponding log ISD.
DOI: 10.6084/m9.figshare.3558936
title: Appendix I. Sensitivity test for the baseline of stable isotope analysis.

description: Sensitivity test for the baseline of stable isotope analysis.
DOI: 10.6084/m9.figshare.3558936.v1
title: Appendix I. Sensitivity test for the baseline of stable isotope analysis.

description: Sensitivity test for the baseline of stable isotope analysis.
DOI: 10.6084/m9.figshare.3558933
title: Appendix J. The prediction of power-law exponents in the generalized MTE model.

description: The prediction of power-law exponents in the generalized MTE model.
DOI: 10.6084/m9.figshare.3558930
title: Appendix K. The prediction of the generalized MTE model under nonequilibrium state caused by disturbances.

description: The prediction of the generalized MTE model under nonequilibrium state caused by disturbances.
DOI: 10.6084/m9.figshare.3558930.v1
title: Appendix K. The prediction of the generalized MTE model under nonequilibrium state caused by disturbances.

description: The prediction of the generalized MTE model under nonequilibrium state caused by disturbances.
DOI: 10.6084/m9.figshare.3558927
title: Appendix L. The deviations of generalized MTE predictions caused by heterogenerity of K-means group.

description: The deviations of generalized MTE predictions caused by heterogenerity of K-means group.
DOI: 10.6084/m9.figshare.3558924
title: Appendix M. Linking size structure, complex trophic interactions, and ecosystem productivity.

description: Linking size structure, complex trophic interactions, and ecosystem productivity.
DOI: 10.6084/m9.figshare.3558924.v1
title: Appendix M. Linking size structure, complex trophic interactions, and ecosystem productivity.

description: Linking size structure, complex trophic interactions, and ecosystem productivity.
DOI: 10.6084/m9.figshare.3558921
title: Supplement 1. R codes for the implementation of the predictions from empirical data.

description: File List ssize.csv (MD5: 5f7568ce74a8fbb8808614347bc21a94): Example ISD data sizeTL.csv (MD5: da8500a87c21284351543ba6318b66e7): Example size-TL relationship data SI_demonstration.r (MD5: e56272a18193777dd66ba3c1f1ef90c1): The demo main function. Prediction_func.r (MD5: 4ad59c0d3619d8e82d503c3766c63fba): The cross predictions function of the generalized MTE model. Random_Test.r (MD5: 21703f025baef51b1cc2cb305a8039b4): The randomization test of the generalized MTE model. Description Demonstration of the predictions of generalized MTE model can be carried out by executing the demo function, SI_demonstration.r, and then loading the example data sets, ssize.csv and sizeTL.csv, and prediction functions (Prediction_func.r and Random_Test.r) following the instructions in the demo function. The demon function, SI_demonstration.r, is the main function to demonstrate the implementation of two predictions from the example data sets and calculation of the 95% confidence interval. Prediction_func.r is the functions that produces the cross predictions between ISD and size-TL relationship (ISD→STL and STL→ISD) in the generalized MTE model. Random_Test.r is the function for the randomization test of the generalized MTE model.
DOI: 10.6084/m9.figshare.3558921.v1
title: Supplement 1. R codes for the implementation of the predictions from empirical data.

description: File List ssize.csv (MD5: 5f7568ce74a8fbb8808614347bc21a94): Example ISD data sizeTL.csv (MD5: da8500a87c21284351543ba6318b66e7): Example size-TL relationship data SI_demonstration.r (MD5: e56272a18193777dd66ba3c1f1ef90c1): The demo main function. Prediction_func.r (MD5: 4ad59c0d3619d8e82d503c3766c63fba): The cross predictions function of the generalized MTE model. Random_Test.r (MD5: 21703f025baef51b1cc2cb305a8039b4): The randomization test of the generalized MTE model. Description Demonstration of the predictions of generalized MTE model can be carried out by executing the demo function, SI_demonstration.r, and then loading the example data sets, ssize.csv and sizeTL.csv, and prediction functions (Prediction_func.r and Random_Test.r) following the instructions in the demo function. The demon function, SI_demonstration.r, is the main function to demonstrate the implementation of two predictions from the example data sets and calculation of the 95% confidence interval. Prediction_func.r is the functions that produces the cross predictions between ISD and size-TL relationship (ISD→STL and STL→ISD) in the generalized MTE model. Random_Test.r is the function for the randomization test of the generalized MTE model.
DOI: 10.6084/m9.figshare.3558918
title: Appendix A. Dynamic programming equations.

description: Dynamic programming equations.
DOI: 10.6084/m9.figshare.3558918.v1
title: Appendix A. Dynamic programming equations.

description: Dynamic programming equations.
DOI: 10.6084/m9.figshare.3558912
title: Appendix B. Additional details on energetics and modeling.

description: Additional details on energetics and modeling.
DOI: 10.6084/m9.figshare.3558912.v1
title: Appendix B. Additional details on energetics and modeling.

description: Additional details on energetics and modeling.
DOI: 10.6084/m9.figshare.3558909
title: Appendix C. Additional figures to illustrate methods.

description: Additional figures to illustrate methods.
DOI: 10.6084/m9.figshare.3558909.v1
title: Appendix C. Additional figures to illustrate methods.

description: Additional figures to illustrate methods.
DOI: 10.6084/m9.figshare.3558906
title: Appendix D. Limitations of the model for capturing pinniped life histories.

description: Limitations of the model for capturing pinniped life histories.
DOI: 10.6084/m9.figshare.3558906.v1
title: Appendix D. Limitations of the model for capturing pinniped life histories.

description: Limitations of the model for capturing pinniped life histories.
DOI: 10.6084/m9.figshare.3558900
title: Appendix A. Supplementary methods: selecting a fragmentation metric and assessing collinearity.

description: Supplementary methods: selecting a fragmentation metric and assessing collinearity.
DOI: 10.6084/m9.figshare.3558900.v1
title: Appendix A. Supplementary methods: selecting a fragmentation metric and assessing collinearity.

description: Supplementary methods: selecting a fragmentation metric and assessing collinearity.
DOI: 10.6084/m9.figshare.3558897
title: Appendix B. Simulation results for heterozygosity.

description: Simulation results for heterozygosity.
DOI: 10.6084/m9.figshare.3558897.v1
title: Appendix B. Simulation results for heterozygosity.

description: Simulation results for heterozygosity.
DOI: 10.6084/m9.figshare.3558894
title: Appendix C. Standardized and mean-centered regression coefficients.

description: Standardized and mean-centered regression coefficients.
DOI: 10.6084/m9.figshare.3558894.v1
title: Appendix C. Standardized and mean-centered regression coefficients.

description: Standardized and mean-centered regression coefficients.
DOI: 10.6084/m9.figshare.3558891
title: Appendix D. Plots of scales of effect across dispersal distance cohorts.

description: Plots of scales of effect across dispersal distance cohorts.
DOI: 10.6084/m9.figshare.3558891.v1
title: Appendix D. Plots of scales of effect across dispersal distance cohorts.

description: Plots of scales of effect across dispersal distance cohorts.
DOI: 10.6084/m9.figshare.3558888
title: Appendix E. Plots showing how local abundance responds more strongly to nearby and current population size than does genetic diversity.

description: Plots showing how local abundance responds more strongly to nearby and current population size than does genetic diversity.
DOI: 10.6084/m9.figshare.3558888.v1
title: Appendix E. Plots showing how local abundance responds more strongly to nearby and current population size than does genetic diversity.

description: Plots showing how local abundance responds more strongly to nearby and current population size than does genetic diversity.
DOI: 10.6084/m9.figshare.3558885
title: Supplement 1. AlleleScape: source code for the simulation model used in this study.

description: File List AlleleScape.nlogo (MD5: 5886f1d0f94e848e702b196e1a245dc2) Description AlleleScape.nlogo - AlleleScape allows for the simulation of individuals and alleles within spatially explicit heterogeneous landscapes. Users can control the amount and clumpiness of habitat within landscapes as well as the average dispersal distance of individuals. Major emergent population outcomes are (1) abundance, (2) presence/absence, (3) allelic richness, and (4) expected or observed heterozygosity. These outcomes can be measured for the entire landscape or for a focal site embedded in the center of each landscape. This latter measurement enables one to test hypotheses concerning the influence of landscape characteristics measured at different spatial extents surrounding the focal site on local population outcomes. To view the source code, you can either open the file in a text editor or navigate to the “Procedures” tab within NetLogo. To use the model, you must download NetLogo ver. 4.1.3 from the following website:<br> http://ccl.northwestern.edu/netlogo/download.shtml. Then double-click on AlleleScape.nlogo.
DOI: 10.6084/m9.figshare.3558885.v1
title: Supplement 1. AlleleScape: source code for the simulation model used in this study.

description: File List AlleleScape.nlogo (MD5: 5886f1d0f94e848e702b196e1a245dc2) Description AlleleScape.nlogo - AlleleScape allows for the simulation of individuals and alleles within spatially explicit heterogeneous landscapes. Users can control the amount and clumpiness of habitat within landscapes as well as the average dispersal distance of individuals. Major emergent population outcomes are (1) abundance, (2) presence/absence, (3) allelic richness, and (4) expected or observed heterozygosity. These outcomes can be measured for the entire landscape or for a focal site embedded in the center of each landscape. This latter measurement enables one to test hypotheses concerning the influence of landscape characteristics measured at different spatial extents surrounding the focal site on local population outcomes. To view the source code, you can either open the file in a text editor or navigate to the “Procedures” tab within NetLogo. To use the model, you must download NetLogo ver. 4.1.3 from the following website:<br> http://ccl.northwestern.edu/netlogo/download.shtml. Then double-click on AlleleScape.nlogo.
DOI: 10.6084/m9.figshare.3558882
title: Appendix A. Additional analyses of reptile and amphibian biodiversity responses to forest area metrics, Euclidean distance to the local forest reserve, and general habitat type where sampling occurred.

description: Additional analyses of reptile and amphibian biodiversity responses to forest area metrics, Euclidean distance to the local forest reserve, and general habitat type where sampling occurred.
DOI: 10.6084/m9.figshare.3558882.v1
title: Appendix A. Additional analyses of reptile and amphibian biodiversity responses to forest area metrics, Euclidean distance to the local forest reserve, and general habitat type where sampling occurred.

description: Additional analyses of reptile and amphibian biodiversity responses to forest area metrics, Euclidean distance to the local forest reserve, and general habitat type where sampling occurred.
DOI: 10.6084/m9.figshare.3558879
title: Appendix B. Regression tree analyses of Similarity to Las Cruces Index relationships with general habitat type, elevation, and Euclidean distance to nearest river.

description: Regression tree analyses of Similarity to Las Cruces Index relationships with general habitat type, elevation, and Euclidean distance to nearest river.
DOI: 10.6084/m9.figshare.3558879.v1
title: Appendix B. Regression tree analyses of Similarity to Las Cruces Index relationships with general habitat type, elevation, and Euclidean distance to nearest river.

description: Regression tree analyses of Similarity to Las Cruces Index relationships with general habitat type, elevation, and Euclidean distance to nearest river.
DOI: 10.6084/m9.figshare.3558876
title: Appendix C. Detailed model selection and tables of regression coefficients for linear relationships between reptile and amphibian Similarity to Las Cruces Forest index and percentage of countryside forest elements at different spatial scales.

description: Detailed model selection and tables of regression coefficients for linear relationships between reptile and amphibian Similarity to Las Cruces Forest index and percentage of countryside forest elements at different spatial scales.
DOI: 10.6084/m9.figshare.3558876.v1
title: Appendix C. Detailed model selection and tables of regression coefficients for linear relationships between reptile and amphibian Similarity to Las Cruces Forest index and percentage of countryside forest elements at different spatial scales.

description: Detailed model selection and tables of regression coefficients for linear relationships between reptile and amphibian Similarity to Las Cruces Forest index and percentage of countryside forest elements at different spatial scales.
DOI: 10.6084/m9.figshare.3558873
title: Appendix D. Detailed list of reptile and amphibian captures and observations organized by general habitat type.

description: Detailed list of reptile and amphibian captures and observations organized by general habitat type.
DOI: 10.6084/m9.figshare.3558870
title: Appendix A. Temperature data and degree days across treatments.

description: Temperature data and degree days across treatments.
DOI: 10.6084/m9.figshare.3558870.v1
title: Appendix A. Temperature data and degree days across treatments.

description: Temperature data and degree days across treatments.
DOI: 10.6084/m9.figshare.3558867
title: Appendix B. Mean pool depths over the duration of the experiment.

description: Mean pool depths over the duration of the experiment.
DOI: 10.6084/m9.figshare.3558864
title: Appendix C. Model-fit residuals for each of the response variables.

description: Model-fit residuals for each of the response variables.
DOI: 10.6084/m9.figshare.3558858
title: Appendix D. Species-level and interactive effects of warming and drying on mass at metamorphosis.

description: Species-level and interactive effects of warming and drying on mass at metamorphosis.
DOI: 10.6084/m9.figshare.3558858.v1
title: Appendix D. Species-level and interactive effects of warming and drying on mass at metamorphosis.

description: Species-level and interactive effects of warming and drying on mass at metamorphosis.
DOI: 10.6084/m9.figshare.3558855
title: Appendix E. Comparison of support for candidate models with up to two- or three-way predictor interactions.

description: Comparison of support for candidate models with up to two- or three-way predictor interactions.
DOI: 10.6084/m9.figshare.3558852
title: Appendix F. Table of model coefficients for each of the response variables.

description: Table of model coefficients for each of the response variables.
DOI: 10.6084/m9.figshare.3558852.v1
title: Appendix F. Table of model coefficients for each of the response variables.

description: Table of model coefficients for each of the response variables.
DOI: 10.6084/m9.figshare.3558849
title: Appendix G. Boxplot of mortality due to drying in temporary pools.

description: Boxplot of mortality due to drying in temporary pools.
DOI: 10.6084/m9.figshare.3558849.v1
title: Appendix G. Boxplot of mortality due to drying in temporary pools.

description: Boxplot of mortality due to drying in temporary pools.
DOI: 10.6084/m9.figshare.3558846
title: Appendix H. Three-way interaction coefficients.

description: Three-way interaction coefficients.
DOI: 10.6084/m9.figshare.3558846.v1
title: Appendix H. Three-way interaction coefficients.

description: Three-way interaction coefficients.
DOI: 10.6084/m9.figshare.3558843
title: Appendix A. Examples from the literature of multiple mutualists effects on the focal (Table A1) and partner (Table A2) mutualists, and the range of multiple mutualist effects on focal mutualist fitness.

description: Examples from the literature of multiple mutualists effects on the focal (Table A1) and partner (Table A2) mutualists, and the range of multiple mutualist effects on focal mutualist fitness.
DOI: 10.6084/m9.figshare.3558843.v1
title: Appendix A. Examples from the literature of multiple mutualists effects on the focal (Table A1) and partner (Table A2) mutualists, and the range of multiple mutualist effects on focal mutualist fitness.

description: Examples from the literature of multiple mutualists effects on the focal (Table A1) and partner (Table A2) mutualists, and the range of multiple mutualist effects on focal mutualist fitness.
DOI: 10.6084/m9.figshare.3558840
title: Appendix A. Representation of the dilution effect in the disease ecology literature.

description: Representation of the dilution effect in the disease ecology literature.
DOI: 10.6084/m9.figshare.3558840.v1
title: Appendix A. Representation of the dilution effect in the disease ecology literature.

description: Representation of the dilution effect in the disease ecology literature.
DOI: 10.6084/m9.figshare.3558837
title: Appendix B. Criteria for negative biodiversity–disease relationships.

description: Criteria for negative biodiversity–disease relationships.
DOI: 10.6084/m9.figshare.3558837.v1
title: Appendix B. Criteria for negative biodiversity–disease relationships.

description: Criteria for negative biodiversity–disease relationships.
DOI: 10.6084/m9.figshare.3558834
title: Appendix C. Mathematical models of diversity and disease.

description: Mathematical models of diversity and disease.
DOI: 10.6084/m9.figshare.3558834.v1
title: Appendix C. Mathematical models of diversity and disease.

description: Mathematical models of diversity and disease.
DOI: 10.6084/m9.figshare.3558831
title: Appendix D. Hypothesized mechanisms by which biodiversity may affect the prevalence of human disease agents.

description: Hypothesized mechanisms by which biodiversity may affect the prevalence of human disease agents.
DOI: 10.6084/m9.figshare.3558831.v1
title: Appendix D. Hypothesized mechanisms by which biodiversity may affect the prevalence of human disease agents.

description: Hypothesized mechanisms by which biodiversity may affect the prevalence of human disease agents.
DOI: 10.6084/m9.figshare.3558828
title: Appendix E. Incidental relationships between biodiversity and disease.

description: Incidental relationships between biodiversity and disease.
DOI: 10.6084/m9.figshare.3558828.v1
title: Appendix E. Incidental relationships between biodiversity and disease.

description: Incidental relationships between biodiversity and disease.
DOI: 10.6084/m9.figshare.3558825
title: Appendix A. Site and herbivore exclosure design information.

description: Site and herbivore exclosure design information.
DOI: 10.6084/m9.figshare.3558822
title: Appendix B. Plant community response metrics through time.

description: Plant community response metrics through time.
DOI: 10.6084/m9.figshare.3558819
title: Appendix C. Mechanisms underlying community change.

description: Mechanisms underlying community change.
DOI: 10.6084/m9.figshare.3558819.v1
title: Appendix C. Mechanisms underlying community change.

description: Mechanisms underlying community change.
DOI: 10.6084/m9.figshare.3558816
title: Appendix A. Classification of mast and non-mast years by using the number of standardized deviations of the annual cone production from the long-term mean seed production.

description: Classification of mast and non-mast years by using the number of standardized deviations of the annual cone production from the long-term mean seed production.
DOI: 10.6084/m9.figshare.3558816.v1
title: Appendix A. Classification of mast and non-mast years by using the number of standardized deviations of the annual cone production from the long-term mean seed production.

description: Classification of mast and non-mast years by using the number of standardized deviations of the annual cone production from the long-term mean seed production.
DOI: 10.6084/m9.figshare.3558813
title: Data Paper. Data Paper

description: File List BTZ_2005-2007_BreedingWaterfowl.csv (MD5: 5aa85c4862536fca79efcc83e6cbbb45) BTZ_2005-2007_Fishraw.csv (MD5: 37c679eecc5450d62382f525f5bdb810) BTZ_2005-2007_headers.csv (MD5: 76a09ae24bd8c035c661bf40f847ae15) BTZ_2005-2007_MoltingWaterfowl.csv (MD5: a911d6dc19b1a241211f110b39903abb) BTZ_2005-2007_WetlandHabitatGIS.csv (MD5: e96bcee9e8c8f423e28a0c787a045a85) BTZ_2005-2007_WetlandHabitatLimno.csv (MD5: 2a0f5b049be290f2d75c029685ad23b9) BTZ_2005-2007_WetlandHabitatTemporalIndicators.csv (MD5: 3261f35af3b0c3f413f0ea50e1deb137) BTZ_2005-5007_WetlandHabitatPhysicalSAV.csv (MD5: 484b2100db17492761d845f555078a03) Description Water quality, environment, agricultural land use, waterfowl, and fish community data were collected from wetlands in four landscapes (West Peace Lowlands, East Peace Lowlands, West Central, and East Central) in the Boreal Transition Zone (BTZ) of Alberta (AB) and with one landscape in British Columbia (East Peace Lowlands-BC) during May and August over three years (2005–2007). This data set is unique in that it provides comprehensive water quality sampling, habitat conditions, and associated breeding and molting waterfowl data over a 3-yr period, which includes a drought year. Land use in the BTZ has rapidly changed with at least 73% of the BTZ, particularly in Saskatchewan, AB, being converted from forest to agriculture since the early 20th century. The BTZ has experienced a drying trend over the past 60 years with the lowest cumulative effective precipitation since 1943 with a -2323 mm precipitation deficit recorded in 2006. A total of 723 and 489 wetlands were surveyed for waterfowl abundance during the breeding and molting seasons, respectively. A subset of 214 and 213 wetlands in May and August, respectively, was further sampled for habitat, limnology, and agricultural encroachment surrounding the wetland. A subset of 25 wetlands was sampled in 2006 for fish abundance data. This data set has been used in several papers in assessing the impact of drought and agricultural impact on water quality and wetland conditions, as well as drought and land use impacts on habitat associations between breeding and molting waterfowl and wetland condition. <i>Key words</i>: <i>agriculture; algae; Boreal Transition Zone, drought; fish; habitat; shallow lakes; submerged aquatic vegetation; water chemistry; waterfowl; wetlands.</i>