cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3519485
title: Appendix C. Twentieth-century fire return interval departure on public lands in California, USA.

description: Twentieth-century fire return interval departure on public lands in California, USA.
DOI: 10.6084/m9.figshare.3519485.v1
title: Appendix C. Twentieth-century fire return interval departure on public lands in California, USA.

description: Twentieth-century fire return interval departure on public lands in California, USA.
DOI: 10.6084/m9.figshare.3519482
title: Appendix D. Predicted probability of occurrence maps in historical and modern time periods for models with and without fire occurrence for three example species.

description: Predicted probability of occurrence maps in historical and modern time periods for models with and without fire occurrence for three example species.
DOI: 10.6084/m9.figshare.3519482.v1
title: Appendix D. Predicted probability of occurrence maps in historical and modern time periods for models with and without fire occurrence for three example species.

description: Predicted probability of occurrence maps in historical and modern time periods for models with and without fire occurrence for three example species.
DOI: 10.6084/m9.figshare.3519479
title: Appendix A. Tables and figures showing supplemental methods including (1) study area maps, (2) topographical complexity metrics, (3) burn severity class descriptions, (4) spatial pattern metric equations, and (5) fires included in the study.

description: Tables and figures showing supplemental methods including (1) study area maps, (2) topographical complexity metrics, (3) burn severity class descriptions, (4) spatial pattern metric equations, and (5) fires included in the study.
DOI: 10.6084/m9.figshare.3519479.v1
title: Appendix A. Tables and figures showing supplemental methods including (1) study area maps, (2) topographical complexity metrics, (3) burn severity class descriptions, (4) spatial pattern metric equations, and (5) fires included in the study.

description: Tables and figures showing supplemental methods including (1) study area maps, (2) topographical complexity metrics, (3) burn severity class descriptions, (4) spatial pattern metric equations, and (5) fires included in the study.
DOI: 10.6084/m9.figshare.3519476
title: Appendix B. Tables and figures showing supplemental results including (1) climate regression models, (2) subsection-scale severity pattern statistics and patch distributions, and (3) a sensitivity analysis of the effect of core area distances on regression model results.

description: Tables and figures showing supplemental results including (1) climate regression models, (2) subsection-scale severity pattern statistics and patch distributions, and (3) a sensitivity analysis of the effect of core area distances on regression model results.
DOI: 10.6084/m9.figshare.3519476.v1
title: Appendix B. Tables and figures showing supplemental results including (1) climate regression models, (2) subsection-scale severity pattern statistics and patch distributions, and (3) a sensitivity analysis of the effect of core area distances on regression model results.

description: Tables and figures showing supplemental results including (1) climate regression models, (2) subsection-scale severity pattern statistics and patch distributions, and (3) a sensitivity analysis of the effect of core area distances on regression model results.
DOI: 10.6084/m9.figshare.3519473
title: Appendix A. Tables listing the locations of sampled populations and the characteristics of the SSR primers used for genetic analysis.

description: Tables listing the locations of sampled populations and the characteristics of the SSR primers used for genetic analysis.
DOI: 10.6084/m9.figshare.3519473.v1
title: Appendix A. Tables listing the locations of sampled populations and the characteristics of the SSR primers used for genetic analysis.

description: Tables listing the locations of sampled populations and the characteristics of the SSR primers used for genetic analysis.
DOI: 10.6084/m9.figshare.3519470
title: Appendix B. Figures showing the results of the intermediate steps of the reciprocal causal modeling analysis to optimize relative resistance to gene flow presented by rivers and climate gradients.

description: Figures showing the results of the intermediate steps of the reciprocal causal modeling analysis to optimize relative resistance to gene flow presented by rivers and climate gradients.
DOI: 10.6084/m9.figshare.3519470.v1
title: Appendix B. Figures showing the results of the intermediate steps of the reciprocal causal modeling analysis to optimize relative resistance to gene flow presented by rivers and climate gradients.

description: Figures showing the results of the intermediate steps of the reciprocal causal modeling analysis to optimize relative resistance to gene flow presented by rivers and climate gradients.
DOI: 10.6084/m9.figshare.3519467
title: Appendix A. Detailed description of the model, prior distributions, diagnostics, and inverse prediction.

description: Detailed description of the model, prior distributions, diagnostics, and inverse prediction.
DOI: 10.6084/m9.figshare.3519464
title: Appendix A. Number of pieces and wood type samples used to characterize coarse woody debris (CWD).

description: Number of pieces and wood type samples used to characterize coarse woody debris (CWD).
DOI: 10.6084/m9.figshare.3519464.v1
title: Appendix A. Number of pieces and wood type samples used to characterize coarse woody debris (CWD).

description: Number of pieces and wood type samples used to characterize coarse woody debris (CWD).
DOI: 10.6084/m9.figshare.3519461
title: Appendix A. The mechanistic framework for using cellulose δ18O and δD to predict leaf water δ18O and δD and thereby calculate deuterium deviations from the global meteoric water line (Δd).

description: The mechanistic framework for using cellulose δ18O and δD to predict leaf water δ18O and δD and thereby calculate deuterium deviations from the global meteoric water line (Δd).
DOI: 10.6084/m9.figshare.3519461.v1
title: Appendix A. The mechanistic framework for using cellulose δ18O and δD to predict leaf water δ18O and δD and thereby calculate deuterium deviations from the global meteoric water line (Δd).

description: The mechanistic framework for using cellulose δ18O and δD to predict leaf water δ18O and δD and thereby calculate deuterium deviations from the global meteoric water line (Δd).
DOI: 10.6084/m9.figshare.3519458
title: Appendix B. Data sources used in the manuscript and descriptions of sampling locations and conditions.

description: Data sources used in the manuscript and descriptions of sampling locations and conditions.
DOI: 10.6084/m9.figshare.3519455
title: Appendix C. A sensitivity analysis of leaf temperature effects on deuterium deviations from the global meteoric water line of leaf lamina water (Δdl) or at the evaporative sites (Δdle).

description: A sensitivity analysis of leaf temperature effects on deuterium deviations from the global meteoric water line of leaf lamina water (Δdl) or at the evaporative sites (Δdle).
DOI: 10.6084/m9.figshare.3519455.v1
title: Appendix C. A sensitivity analysis of leaf temperature effects on deuterium deviations from the global meteoric water line of leaf lamina water (Δdl) or at the evaporative sites (Δdle).

description: A sensitivity analysis of leaf temperature effects on deuterium deviations from the global meteoric water line of leaf lamina water (Δdl) or at the evaporative sites (Δdle).
DOI: 10.6084/m9.figshare.3519452
title: Appendix D. A sensitivity analysis of how variation in source water isotopic composition affects predictions from cellulose δ18O and δD of deuterium deviations from the global meteoric water line of leaf lamina water (Δdc) or leaf water at the evaporative sites (Δdce).

description: A sensitivity analysis of how variation in source water isotopic composition affects predictions from cellulose δ18O and δD of deuterium deviations from the global meteoric water line of leaf lamina water (Δdc) or leaf water at the evaporative sites (Δdce).
DOI: 10.6084/m9.figshare.3519452.v1
title: Appendix D. A sensitivity analysis of how variation in source water isotopic composition affects predictions from cellulose δ18O and δD of deuterium deviations from the global meteoric water line of leaf lamina water (Δdc) or leaf water at the evaporative sites (Δdce).

description: A sensitivity analysis of how variation in source water isotopic composition affects predictions from cellulose δ18O and δD of deuterium deviations from the global meteoric water line of leaf lamina water (Δdc) or leaf water at the evaporative sites (Δdce).
DOI: 10.6084/m9.figshare.3519449
title: Appendix A. Computation of two- and three-dimensional overlap in home ranges.

description: Computation of two- and three-dimensional overlap in home ranges.
DOI: 10.6084/m9.figshare.3519449.v1
title: Appendix A. Computation of two- and three-dimensional overlap in home ranges.

description: Computation of two- and three-dimensional overlap in home ranges.
DOI: 10.6084/m9.figshare.3519446
title: Appendix B. Correlation test between measures of home range size, spatial parameters, and the number of relocations obtained per individual; LMM for the standardized RUF coefficients; and model validation graphs for the LMMs of the home range area.

description: Correlation test between measures of home range size, spatial parameters, and the number of relocations obtained per individual; LMM for the standardized RUF coefficients; and model validation graphs for the LMMs of the home range area.
DOI: 10.6084/m9.figshare.3519446.v1
title: Appendix B. Correlation test between measures of home range size, spatial parameters, and the number of relocations obtained per individual; LMM for the standardized RUF coefficients; and model validation graphs for the LMMs of the home range area.

description: Correlation test between measures of home range size, spatial parameters, and the number of relocations obtained per individual; LMM for the standardized RUF coefficients; and model validation graphs for the LMMs of the home range area.
DOI: 10.6084/m9.figshare.3519443
title: Appendix A. Supplementary results tables for demographic estimation in the Whooping Crane eastern migratory population.

description: Supplementary results tables for demographic estimation in the Whooping Crane eastern migratory population.
DOI: 10.6084/m9.figshare.3519443.v1
title: Appendix A. Supplementary results tables for demographic estimation in the Whooping Crane eastern migratory population.

description: Supplementary results tables for demographic estimation in the Whooping Crane eastern migratory population.
DOI: 10.6084/m9.figshare.3519440
title: Supplement 1. JAGS code for fitting the state-space implementation of a multi-state mark–recapture model and calculating demographic estimates.

description: File List JAGS-code.txt (MD5: a5de8f40e6a2872bd83bba1baec10619) Description JAGS-code.txt enables to fit the state-space implementation of a multi-state mark–recapture model and get demographic estimates.
DOI: 10.6084/m9.figshare.3519440.v1
title: Supplement 1. JAGS code for fitting the state-space implementation of a multi-state mark–recapture model and calculating demographic estimates.

description: File List JAGS-code.txt (MD5: a5de8f40e6a2872bd83bba1baec10619) Description JAGS-code.txt enables to fit the state-space implementation of a multi-state mark–recapture model and get demographic estimates.
DOI: 10.6084/m9.figshare.3519437
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.3519437.v1
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.3519434
title: Appendix A. Methods and data sources for future predictions of air temperature and tributary and boundary conditions input into the Heat Source stream temperature model.

description: Methods and data sources for future predictions of air temperature and tributary and boundary conditions input into the Heat Source stream temperature model.
DOI: 10.6084/m9.figshare.3519434.v1
title: Appendix A. Methods and data sources for future predictions of air temperature and tributary and boundary conditions input into the Heat Source stream temperature model.

description: Methods and data sources for future predictions of air temperature and tributary and boundary conditions input into the Heat Source stream temperature model.
DOI: 10.6084/m9.figshare.3519431
title: Appendix B. Forecasts of the longitudinal profile of stream temperature (7DAD mean) in the NFJDR and MFJDR during early and late summer.

description: Forecasts of the longitudinal profile of stream temperature (7DAD mean) in the NFJDR and MFJDR during early and late summer.
DOI: 10.6084/m9.figshare.3519431.v1
title: Appendix B. Forecasts of the longitudinal profile of stream temperature (7DAD mean) in the NFJDR and MFJDR during early and late summer.

description: Forecasts of the longitudinal profile of stream temperature (7DAD mean) in the NFJDR and MFJDR during early and late summer.
DOI: 10.6084/m9.figshare.3519428
title: Appendix C. Comparison of the potential for riparian restoration to reduce stream temperature in the NFJDR and MFJDR, and figures showing the spatial location of prioritized riparian restoration in the NFJDR and MFJDR.

description: Comparison of the potential for riparian restoration to reduce stream temperature in the NFJDR and MFJDR, and figures showing the spatial location of prioritized riparian restoration in the NFJDR and MFJDR.
DOI: 10.6084/m9.figshare.3519428.v1
title: Appendix C. Comparison of the potential for riparian restoration to reduce stream temperature in the NFJDR and MFJDR, and figures showing the spatial location of prioritized riparian restoration in the NFJDR and MFJDR.

description: Comparison of the potential for riparian restoration to reduce stream temperature in the NFJDR and MFJDR, and figures showing the spatial location of prioritized riparian restoration in the NFJDR and MFJDR.
DOI: 10.6084/m9.figshare.3519425
title: Appendix A. Distribution of inland lakes with established populations of round goby (Neogobius melanostomus) in Ontario, Canada.

description: Distribution of inland lakes with established populations of round goby (Neogobius melanostomus) in Ontario, Canada.
DOI: 10.6084/m9.figshare.3519425.v1
title: Appendix A. Distribution of inland lakes with established populations of round goby (Neogobius melanostomus) in Ontario, Canada.

description: Distribution of inland lakes with established populations of round goby (Neogobius melanostomus) in Ontario, Canada.
DOI: 10.6084/m9.figshare.3519422
title: Appendix B. Empirical data for estimating model parameters.

description: Empirical data for estimating model parameters.
DOI: 10.6084/m9.figshare.3519422.v1
title: Appendix B. Empirical data for estimating model parameters.

description: Empirical data for estimating model parameters.
DOI: 10.6084/m9.figshare.3519419
title: Appendix C. Overview of model assumptions.

description: Overview of model assumptions.
DOI: 10.6084/m9.figshare.3519419.v1
title: Appendix C. Overview of model assumptions.

description: Overview of model assumptions.
DOI: 10.6084/m9.figshare.3519416
title: Appendix D. Probability distributions describing the availability of n propagules as bycatch to purchasing anglers.

description: Probability distributions describing the availability of n propagules as bycatch to purchasing anglers.
DOI: 10.6084/m9.figshare.3519413
title: Appendix E. Live baitfish angling effort for lakes, irrespective of risk status, following the agent-based simulation of resident, licensed anglers in Ontario, Canada.

description: Live baitfish angling effort for lakes, irrespective of risk status, following the agent-based simulation of resident, licensed anglers in Ontario, Canada.
DOI: 10.6084/m9.figshare.3519416.v1
title: Appendix D. Probability distributions describing the availability of n propagules as bycatch to purchasing anglers.

description: Probability distributions describing the availability of n propagules as bycatch to purchasing anglers.
DOI: 10.6084/m9.figshare.3519413.v1
title: Appendix E. Live baitfish angling effort for lakes, irrespective of risk status, following the agent-based simulation of resident, licensed anglers in Ontario, Canada.

description: Live baitfish angling effort for lakes, irrespective of risk status, following the agent-based simulation of resident, licensed anglers in Ontario, Canada.
DOI: 10.6084/m9.figshare.3519410
title: Appendix F. The vector (trip) risk profile following the agent-based simulation of bycatch, anglers, road networks, and lakes with λ = 0.00735 (i.e., baseline Poisson).

description: The vector (trip) risk profile following the agent-based simulation of bycatch, anglers, road networks, and lakes with λ = 0.00735 (i.e., baseline Poisson).
DOI: 10.6084/m9.figshare.3519410.v1
title: Appendix F. The vector (trip) risk profile following the agent-based simulation of bycatch, anglers, road networks, and lakes with λ = 0.00735 (i.e., baseline Poisson).

description: The vector (trip) risk profile following the agent-based simulation of bycatch, anglers, road networks, and lakes with λ = 0.00735 (i.e., baseline Poisson).
DOI: 10.6084/m9.figshare.3519407
title: Appendix G. Propagule pressure summary statistics for baseline, infestation, and bycatch reduction simulations.

description: Propagule pressure summary statistics for baseline, infestation, and bycatch reduction simulations.
DOI: 10.6084/m9.figshare.3519407.v1
title: Appendix G. Propagule pressure summary statistics for baseline, infestation, and bycatch reduction simulations.

description: Propagule pressure summary statistics for baseline, infestation, and bycatch reduction simulations.
DOI: 10.6084/m9.figshare.3519404
title: Appendix H. Lake-specific absolute propagule pressure under various bycatch scenarios.

description: Lake-specific absolute propagule pressure under various bycatch scenarios.
DOI: 10.6084/m9.figshare.3519404.v1
title: Appendix H. Lake-specific absolute propagule pressure under various bycatch scenarios.

description: Lake-specific absolute propagule pressure under various bycatch scenarios.
DOI: 10.6084/m9.figshare.3519401
title: Appendix I. Landscape patterns of absolute propagule pressure under various bycatch scenarios.

description: Landscape patterns of absolute propagule pressure under various bycatch scenarios.
DOI: 10.6084/m9.figshare.3519401.v1
title: Appendix I. Landscape patterns of absolute propagule pressure under various bycatch scenarios.

description: Landscape patterns of absolute propagule pressure under various bycatch scenarios.
DOI: 10.6084/m9.figshare.3519398
title: Appendix A. Details of multivariate regression procedures.

description: Details of multivariate regression procedures.
DOI: 10.6084/m9.figshare.3519398.v1
title: Appendix A. Details of multivariate regression procedures.

description: Details of multivariate regression procedures.
DOI: 10.6084/m9.figshare.3519395
title: Appendix A. Sensitivity test of peak velocities on nutrient distribution.

description: Sensitivity test of peak velocities on nutrient distribution.
DOI: 10.6084/m9.figshare.3519395.v1
title: Appendix A. Sensitivity test of peak velocities on nutrient distribution.

description: Sensitivity test of peak velocities on nutrient distribution.
DOI: 10.6084/m9.figshare.3519392
title: Appendix A. Correlations between the environmental variables.

description: Correlations between the environmental variables.
DOI: 10.6084/m9.figshare.3519392.v1
title: Appendix A. Correlations between the environmental variables.

description: Correlations between the environmental variables.
DOI: 10.6084/m9.figshare.3519389
title: Appendix B. Estimation of βW and spatial variation of βW.

description: Estimation of βW and spatial variation of βW.
DOI: 10.6084/m9.figshare.3519389.v1
title: Appendix B. Estimation of βW and spatial variation of βW.

description: Estimation of βW and spatial variation of βW.
DOI: 10.6084/m9.figshare.3519383
title: Supplement 1. Commented R and JAGS codes of the models and the complete data set used in this study.

description: File List fine_data.csv (MD5: 9ec6458220867aba02650559267a47b2) coarse_data.csv (MD5: 66ba1aac22c1995ff2cf87afcfd67dce) grid_shapefiles.zip (MD5: 75f1050618a50cf2f1b4ffbdb8c9ca4d) R&JAGS_codes_and_descriptions.r (MD5: 1038789e9074783d00e3314b0414c201) Description The fine.data.csv file is a comma-separated text file. It contains data for each fine-grain grid cell in the complete set of 6238 cells. Column definitions: id_coarse - String that is unique to the coarse-grain grid cell overlapping the focal fine-grain cell. All fine-grain cells that share the same id_coarse lay within the same coarse-grain cell. lon-lat025 - Unique string that identifies each fine-grain cell. It can also be used to link the data to the shapefile of the fine-grain grid. NPP - Net primary productivity [kg carbon m-2]. LC - Shannon index of land-cover classes. PW - Precipitation in the wettest month [mm/month]. HFP - Human footprint index [Units provided in Trombulak et al. 2010]. PS - Precipitation seasonality [Coefficient of Variation]. T - Mean annual temperature [C°]. S.coarse - Number of species in the coarse-grain cell that encompasses the focal fine-grain cell. S.fine - Number of species in the cell. ref.data - Indicator variable that distinguishes the well-sampled 600 cells of the Reference data set (value of 1) from the rest (value of 0). The coarse.data.csv file is a comma-separated text file. It contains data for each coarse-grain cell in the complete set of 107 coarse-grain cells. Column definitions: id_coarse - String that is unique to each coarse-grain grid cell. It can be used to link the data to the shapefile of the coarse-grain grid. S.coarse - Number of species in the coarse-grain cell. START - Index variable (see below). STOP - Index variable. All fine-grain grid cells that lay within the coarse-grain cell have index <i>j</i> where START <i>j</i> STOP. The index <i>j</i> identifies rows in the fine.data.csv table. The file grid_shapefiles.zip is a .zip archive that contains two Esri shapefiles. The first one is the 0.25° fine-grain grid. The second one is the 2° coarse-grain grid. These shapefiles are not essential for the replication of the analyses, but they can be useful for visualization purposes or for further research. Both shapefiles can be linked to the fine_data.csv and coarse_data.csv by using the lon-lat025 and id_coarse fields respectively. The file R&JAGS_codes_and_descriptions.r is a text file that contains R and JAGS codes (together with their descriptions) that can be used to run the three models presented in the study.