cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3514952.v1
title: Supplement 2. Priors and posterior means and percentiles for light model and growth parameters.

description: File List table_S2.csv - table of priors and posterior means and percentiles table_S2_definitions.pdf - column and row definitions Description The table reports the priors and posterior means, medians and 95% credible intervals (2.5 and 97.5 percentiles) for the light-model and growth parameters. See main article and Appendix F for details.
DOI: 10.6084/m9.figshare.3514949
title: Appendix A. Method for setting the area of the cropland.

description: Method for setting the area of the cropland.
DOI: 10.6084/m9.figshare.3514949.v1
title: Appendix A. Method for setting the area of the cropland.

description: Method for setting the area of the cropland.
DOI: 10.6084/m9.figshare.3514946
title: Appendix B. Method for setting energy-related parameters in the model.

description: Method for setting energy-related parameters in the model.
DOI: 10.6084/m9.figshare.3514946.v1
title: Appendix B. Method for setting energy-related parameters in the model.

description: Method for setting energy-related parameters in the model.
DOI: 10.6084/m9.figshare.3514943
title: Appendix C. Method for setting the seasonal amount of straw dry matter returned to each hectare of rice paddy.

description: Method for setting the seasonal amount of straw dry matter returned to each hectare of rice paddy.
DOI: 10.6084/m9.figshare.3514943.v1
title: Appendix C. Method for setting the seasonal amount of straw dry matter returned to each hectare of rice paddy.

description: Method for setting the seasonal amount of straw dry matter returned to each hectare of rice paddy.
DOI: 10.6084/m9.figshare.3514940
title: Appendix D. Database of soil organic carbon experiments in agricultural soils in China.

description: Database of soil organic carbon experiments in agricultural soils in China.
DOI: 10.6084/m9.figshare.3514940.v1
title: Appendix D. Database of soil organic carbon experiments in agricultural soils in China.

description: Database of soil organic carbon experiments in agricultural soils in China.
DOI: 10.6084/m9.figshare.3514937
title: Appendix E. Experimental data of CH4 emission from rice paddies in China.

description: Experimental data of CH4 emission from rice paddies in China.
DOI: 10.6084/m9.figshare.3514937.v1
title: Appendix E. Experimental data of CH4 emission from rice paddies in China.

description: Experimental data of CH4 emission from rice paddies in China.
DOI: 10.6084/m9.figshare.3514934
title: Appendix F. Experimental data of the influence of straw return on CH4 emissions.

description: Experimental data of the influence of straw return on CH4 emissions.
DOI: 10.6084/m9.figshare.3514934.v1
title: Appendix F. Experimental data of the influence of straw return on CH4 emissions.

description: Experimental data of the influence of straw return on CH4 emissions.
DOI: 10.6084/m9.figshare.3514931
title: Appendix G. Distribution of the experimental sites.

description: Distribution of the experimental sites.
DOI: 10.6084/m9.figshare.3514931.v1
title: Appendix G. Distribution of the experimental sites.

description: Distribution of the experimental sites.
DOI: 10.6084/m9.figshare.3514928
title: Appendix A. Analytical formulas for the sensitivities of asymptotic invasion speed to lower-level demography and dispersal parameters.

description: Analytical formulas for the sensitivities of asymptotic invasion speed to lower-level demography and dispersal parameters.
DOI: 10.6084/m9.figshare.3514928.v1
title: Appendix A. Analytical formulas for the sensitivities of asymptotic invasion speed to lower-level demography and dispersal parameters.

description: Analytical formulas for the sensitivities of asymptotic invasion speed to lower-level demography and dispersal parameters.
DOI: 10.6084/m9.figshare.3514925
title: Appendix A. Mathematical derivations of R0 (the basic reproductive rate of the pathogen) for the nonseasonal model.

description: Mathematical derivations of R0 (the basic reproductive rate of the pathogen) for the nonseasonal model.
DOI: 10.6084/m9.figshare.3514922
title: Appendix B. A figure showing how increased loss rates due to pathogen infection can increase the total local density of a wild host population.

description: A figure showing how increased loss rates due to pathogen infection can increase the total local density of a wild host population.
DOI: 10.6084/m9.figshare.3514925.v1
title: Appendix A. Mathematical derivations of R0 (the basic reproductive rate of the pathogen) for the nonseasonal model.

description: Mathematical derivations of R0 (the basic reproductive rate of the pathogen) for the nonseasonal model.
DOI: 10.6084/m9.figshare.3514922.v1
title: Appendix B. A figure showing how increased loss rates due to pathogen infection can increase the total local density of a wild host population.

description: A figure showing how increased loss rates due to pathogen infection can increase the total local density of a wild host population.
DOI: 10.6084/m9.figshare.3514919
title: Appendix C. A mathematical derivation of the conditions under which pathogen spillover from a domesticated host population can extirpate a wild host population.

description: A mathematical derivation of the conditions under which pathogen spillover from a domesticated host population can extirpate a wild host population.
DOI: 10.6084/m9.figshare.3514919.v1
title: Appendix C. A mathematical derivation of the conditions under which pathogen spillover from a domesticated host population can extirpate a wild host population.

description: A mathematical derivation of the conditions under which pathogen spillover from a domesticated host population can extirpate a wild host population.
DOI: 10.6084/m9.figshare.3514916
title: Appendix D. Methods by which empirical values (and/or ranges of variation) for the model parameters were obtained.

description: Methods by which empirical values (and/or ranges of variation) for the model parameters were obtained.
DOI: 10.6084/m9.figshare.3514916.v1
title: Appendix D. Methods by which empirical values (and/or ranges of variation) for the model parameters were obtained.

description: Methods by which empirical values (and/or ranges of variation) for the model parameters were obtained.
DOI: 10.6084/m9.figshare.3514913
title: Appendix A. Tables and figures comparing estimated time to equilibrium (teq) to approximated natural wetland age.

description: Tables and figures comparing estimated time to equilibrium (teq) to approximated natural wetland age.
DOI: 10.6084/m9.figshare.3514913.v1
title: Appendix A. Tables and figures comparing estimated time to equilibrium (teq) to approximated natural wetland age.

description: Tables and figures comparing estimated time to equilibrium (teq) to approximated natural wetland age.
DOI: 10.6084/m9.figshare.3514910
title: Appendix A. Uncertainty assessment for annual mean embayment area, volume, and depth.

description: Uncertainty assessment for annual mean embayment area, volume, and depth.
DOI: 10.6084/m9.figshare.3514910.v1
title: Appendix A. Uncertainty assessment for annual mean embayment area, volume, and depth.

description: Uncertainty assessment for annual mean embayment area, volume, and depth.
DOI: 10.6084/m9.figshare.3514907
title: Appendix B. Uncertainty assessment for change in storage (ΔS).

description: Uncertainty assessment for change in storage (ΔS).
DOI: 10.6084/m9.figshare.3514907.v1
title: Appendix B. Uncertainty assessment for change in storage (ΔS).

description: Uncertainty assessment for change in storage (ΔS).
DOI: 10.6084/m9.figshare.3514904
title: Appendix C. Uncertainty assessment for atmospheric deposition (AtmDep).

description: Uncertainty assessment for atmospheric deposition (AtmDep).
DOI: 10.6084/m9.figshare.3514904.v1
title: Appendix C. Uncertainty assessment for atmospheric deposition (AtmDep).

description: Uncertainty assessment for atmospheric deposition (AtmDep).
DOI: 10.6084/m9.figshare.3514901
title: Appendix D. Uncertainty assessment for point source input (PS).

description: Uncertainty assessment for point source input (PS).
DOI: 10.6084/m9.figshare.3514901.v1
title: Appendix D. Uncertainty assessment for point source input (PS).

description: Uncertainty assessment for point source input (PS).
DOI: 10.6084/m9.figshare.3514898
title: Appendix E. Uncertainty assessment for groundwater input (GW).

description: Uncertainty assessment for groundwater input (GW).
DOI: 10.6084/m9.figshare.3514898.v1
title: Appendix E. Uncertainty assessment for groundwater input (GW).

description: Uncertainty assessment for groundwater input (GW).
DOI: 10.6084/m9.figshare.3514895
title: Appendix F. Uncertainty assessment for net exchange (N-Ex).

description: Uncertainty assessment for net exchange (N-Ex).
DOI: 10.6084/m9.figshare.3514895.v1
title: Appendix F. Uncertainty assessment for net exchange (N-Ex).

description: Uncertainty assessment for net exchange (N-Ex).
DOI: 10.6084/m9.figshare.3514892
title: Appendix G. Uncertainty assessment for marsh exchange (M-Ex).

description: Uncertainty assessment for marsh exchange (M-Ex).
DOI: 10.6084/m9.figshare.3514892.v1
title: Appendix G. Uncertainty assessment for marsh exchange (M-Ex).

description: Uncertainty assessment for marsh exchange (M-Ex).
DOI: 10.6084/m9.figshare.3514889
title: Appendix H. Uncertainty assessment for the Black Box (BB) terms.

description: Uncertainty assessment for the Black Box (BB) terms.
DOI: 10.6084/m9.figshare.3514889.v1
title: Appendix H. Uncertainty assessment for the Black Box (BB) terms.

description: Uncertainty assessment for the Black Box (BB) terms.
DOI: 10.6084/m9.figshare.3514886
title: Appendix A. Structure of size-classified transition matrices constructed for native and introduced flathead catfish populations from the Coosa (Alabama) and Ocmulgee (Georgia) rivers, respectively.

description: Structure of size-classified transition matrices constructed for native and introduced flathead catfish populations from the Coosa (Alabama) and Ocmulgee (Georgia) rivers, respectively.
DOI: 10.6084/m9.figshare.3514886.v1
title: Appendix A. Structure of size-classified transition matrices constructed for native and introduced flathead catfish populations from the Coosa (Alabama) and Ocmulgee (Georgia) rivers, respectively.

description: Structure of size-classified transition matrices constructed for native and introduced flathead catfish populations from the Coosa (Alabama) and Ocmulgee (Georgia) rivers, respectively.
DOI: 10.6084/m9.figshare.3514883
title: Appendix B. Modified structure of transition matrices constructed for stochastically varying recruitment as a function of variable hydrologic conditions.

description: Modified structure of transition matrices constructed for stochastically varying recruitment as a function of variable hydrologic conditions.
DOI: 10.6084/m9.figshare.3514883.v1
title: Appendix B. Modified structure of transition matrices constructed for stochastically varying recruitment as a function of variable hydrologic conditions.

description: Modified structure of transition matrices constructed for stochastically varying recruitment as a function of variable hydrologic conditions.
DOI: 10.6084/m9.figshare.3514880
title: Appendix C. Transition matrices constructed for native and introduced flathead catfish populations from the Coosa (Alabama) and Ocmulgee (Georgia) rivers, respectively.

description: Transition matrices constructed for native and introduced flathead catfish populations from the Coosa (Alabama) and Ocmulgee (Georgia) rivers, respectively.
DOI: 10.6084/m9.figshare.3514880.v1
title: Appendix C. Transition matrices constructed for native and introduced flathead catfish populations from the Coosa (Alabama) and Ocmulgee (Georgia) rivers, respectively.

description: Transition matrices constructed for native and introduced flathead catfish populations from the Coosa (Alabama) and Ocmulgee (Georgia) rivers, respectively.
DOI: 10.6084/m9.figshare.3514877
title: Appendix D. Elasticities of matrix elements in matrices constructed for native and introduced flathead catfish populations from the Coosa (Alabama) and Ocmulgee (Georgia) rivers, respectively.

description: Elasticities of matrix elements in matrices constructed for native and introduced flathead catfish populations from the Coosa (Alabama) and Ocmulgee (Georgia) rivers, respectively.
DOI: 10.6084/m9.figshare.3514877.v1
title: Appendix D. Elasticities of matrix elements in matrices constructed for native and introduced flathead catfish populations from the Coosa (Alabama) and Ocmulgee (Georgia) rivers, respectively.

description: Elasticities of matrix elements in matrices constructed for native and introduced flathead catfish populations from the Coosa (Alabama) and Ocmulgee (Georgia) rivers, respectively.
DOI: 10.6084/m9.figshare.3514874
title: Appendix A. Details of input and results for sensitivity analysis of the Ecosystem Diagnosis and Treatment (EDT) model.

description: Details of input and results for sensitivity analysis of the Ecosystem Diagnosis and Treatment (EDT) model.
DOI: 10.6084/m9.figshare.3514874.v1
title: Appendix A. Details of input and results for sensitivity analysis of the Ecosystem Diagnosis and Treatment (EDT) model.

description: Details of input and results for sensitivity analysis of the Ecosystem Diagnosis and Treatment (EDT) model.
DOI: 10.6084/m9.figshare.3514871
title: Appendix A. Background on general circulation models, choice of a stock–recruitment function, and distribution model based on logistic regression.

description: Background on general circulation models, choice of a stock–recruitment function, and distribution model based on logistic regression.
DOI: 10.6084/m9.figshare.3514868
title: Appendix A. Sample sizes of nests by year for five species of common backyard birds used to model nest survival across an urbanization gradient in the greater Washington, D.C./Baltimore area.

description: Sample sizes of nests by year for five species of common backyard birds used to model nest survival across an urbanization gradient in the greater Washington, D.C./Baltimore area.
DOI: 10.6084/m9.figshare.3514865
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.3514862
title: Appendix A. Maximum species age by ownership type at year 1995 (initial conditions) and 2195 for the three control climate management scenarios.

description: Maximum species age by ownership type at year 1995 (initial conditions) and 2195 for the three control climate management scenarios.
DOI: 10.6084/m9.figshare.3514862.v1
title: Appendix A. Maximum species age by ownership type at year 1995 (initial conditions) and 2195 for the three control climate management scenarios.

description: Maximum species age by ownership type at year 1995 (initial conditions) and 2195 for the three control climate management scenarios.
DOI: 10.6084/m9.figshare.3514856
title: Appendix B. Maximum species age at year 2195 for the nine scenarios.

description: Maximum species age at year 2195 for the nine scenarios.
DOI: 10.6084/m9.figshare.3514856.v1
title: Appendix B. Maximum species age at year 2195 for the nine scenarios.

description: Maximum species age at year 2195 for the nine scenarios.
DOI: 10.6084/m9.figshare.3514853
title: Appendix C. Changes in forest cover due to climate treatment in the current management scenario.

description: Changes in forest cover due to climate treatment in the current management scenario.
DOI: 10.6084/m9.figshare.3514853.v1
title: Appendix C. Changes in forest cover due to climate treatment in the current management scenario.

description: Changes in forest cover due to climate treatment in the current management scenario.
DOI: 10.6084/m9.figshare.3514850
title: Appendix D. Changes in forest cover due to climate treatment in the restoration management scenario.

description: Changes in forest cover due to climate treatment in the restoration management scenario.
DOI: 10.6084/m9.figshare.3514850.v1
title: Appendix D. Changes in forest cover due to climate treatment in the restoration management scenario.

description: Changes in forest cover due to climate treatment in the restoration management scenario.
DOI: 10.6084/m9.figshare.3514847
title: Appendix E. Differences due to active management for the three climate scenarios.

description: Differences due to active management for the three climate scenarios.
DOI: 10.6084/m9.figshare.3514847.v1
title: Appendix E. Differences due to active management for the three climate scenarios.

description: Differences due to active management for the three climate scenarios.
DOI: 10.6084/m9.figshare.3514844
title: Appendix F. Data tables to accompany Fig. 7.

description: Data tables to accompany Fig. 7.
DOI: 10.6084/m9.figshare.3514844.v1
title: Appendix F. Data tables to accompany Fig. 7.

description: Data tables to accompany Fig. 7.
DOI: 10.6084/m9.figshare.3514841
title: Appendix A. Descriptions of species data sets used in modeling.

description: Descriptions of species data sets used in modeling.
DOI: 10.6084/m9.figshare.3514841.v1
title: Appendix A. Descriptions of species data sets used in modeling.

description: Descriptions of species data sets used in modeling.
DOI: 10.6084/m9.figshare.3514838
title: Appendix B. Descriptions of habitat layers used in modeling.

description: Descriptions of habitat layers used in modeling.
DOI: 10.6084/m9.figshare.3514838.v1
title: Appendix B. Descriptions of habitat layers used in modeling.

description: Descriptions of habitat layers used in modeling.
DOI: 10.6084/m9.figshare.3514832
title: Appendix C. Climate variable parameters in climate envelope models.

description: Climate variable parameters in climate envelope models.
DOI: 10.6084/m9.figshare.3514832.v1
title: Appendix C. Climate variable parameters in climate envelope models.

description: Climate variable parameters in climate envelope models.
DOI: 10.6084/m9.figshare.3514829
title: Appendix D. Importance of habitat variables in model results.

description: Importance of habitat variables in model results.
DOI: 10.6084/m9.figshare.3514829.v1
title: Appendix D. Importance of habitat variables in model results.

description: Importance of habitat variables in model results.
DOI: 10.6084/m9.figshare.3514826
title: Appendix A. Description of data sources and computation of the urban gradient for agricultural and forest ecosystems.

description: Description of data sources and computation of the urban gradient for agricultural and forest ecosystems.
DOI: 10.6084/m9.figshare.3514826.v1
title: Appendix A. Description of data sources and computation of the urban gradient for agricultural and forest ecosystems.

description: Description of data sources and computation of the urban gradient for agricultural and forest ecosystems.
DOI: 10.6084/m9.figshare.3514823
title: Appendix B. Description of the criteria for the selection of pests, including names and information sources.

description: Description of the criteria for the selection of pests, including names and information sources.
DOI: 10.6084/m9.figshare.3514823.v1
title: Appendix B. Description of the criteria for the selection of pests, including names and information sources.

description: Description of the criteria for the selection of pests, including names and information sources.
DOI: 10.6084/m9.figshare.3514817
title: Appendix C. Description of the process to determine the risk zones.

description: Description of the process to determine the risk zones.
DOI: 10.6084/m9.figshare.3514817.v1
title: Appendix C. Description of the process to determine the risk zones.

description: Description of the process to determine the risk zones.
DOI: 10.6084/m9.figshare.3514811
title: Appendix A. Ratio of the probability of disease occurrence in a finite population ψ[1-(1-p')N], to the probability of disease occurrence in an infinite population, ψ.

description: Ratio of the probability of disease occurrence in a finite population ψ[1-(1-p')N], to the probability of disease occurrence in an infinite population, ψ.
DOI: 10.6084/m9.figshare.3514811.v1
title: Appendix A. Ratio of the probability of disease occurrence in a finite population ψ[1-(1-p')N], to the probability of disease occurrence in an infinite population, ψ.

description: Ratio of the probability of disease occurrence in a finite population ψ[1-(1-p')N], to the probability of disease occurrence in an infinite population, ψ.
DOI: 10.6084/m9.figshare.3514808
title: Appendix B. The Pearson correlation between covariates used in the analysis of occupancy patterns for Batrachochytrium dendrobatidis.

description: The Pearson correlation between covariates used in the analysis of occupancy patterns for Batrachochytrium dendrobatidis.
DOI: 10.6084/m9.figshare.3514808.v1
title: Appendix B. The Pearson correlation between covariates used in the analysis of occupancy patterns for Batrachochytrium dendrobatidis.

description: The Pearson correlation between covariates used in the analysis of occupancy patterns for Batrachochytrium dendrobatidis.
DOI: 10.6084/m9.figshare.3514805
title: Appendix A. Parameter values and results of the sensitivity analysis of the elk brucellosis model.

description: Parameter values and results of the sensitivity analysis of the elk brucellosis model.
DOI: 10.6084/m9.figshare.3514805.v1
title: Appendix A. Parameter values and results of the sensitivity analysis of the elk brucellosis model.

description: Parameter values and results of the sensitivity analysis of the elk brucellosis model.
DOI: 10.15156/bio/sh1313484.08fu
title: SH1313484.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1313485.08fu
title: SH1313485.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.