cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3524600.v1
title: Appendix F. A table showing -diversity for quadrat pairs within large and small patches in 1985, 1989, 1995, and 2000.

description: A table showing -diversity for quadrat pairs within large and small patches in 1985, 1989, 1995, and 2000.
DOI: 10.6084/m9.figshare.3524597
title: Appendix G. A figure showing percentage of remoteness for quadrat pairs within large and small patches in 1985, 1989, 1995, and 2000.

description: A figure showing percentage of remoteness for quadrat pairs within large and small patches in 1985, 1989, 1995, and 2000.
DOI: 10.6084/m9.figshare.3524597.v1
title: Appendix G. A figure showing percentage of remoteness for quadrat pairs within large and small patches in 1985, 1989, 1995, and 2000.

description: A figure showing percentage of remoteness for quadrat pairs within large and small patches in 1985, 1989, 1995, and 2000.
DOI: 10.6084/m9.figshare.3524594
title: Index Files

description: Index Files
DOI: 10.6084/m9.figshare.3524594.v1
title: Index Files

description: Index Files
DOI: 10.6084/m9.figshare.3524591
title: Appendix A. A table showing biomass and productivity of multiple habitats in Bruce Peninsula National Park, Ontario, Canada.

description: A table showing biomass and productivity of multiple habitats in Bruce Peninsula National Park, Ontario, Canada.
DOI: 10.6084/m9.figshare.3524591.v1
title: Appendix A. A table showing biomass and productivity of multiple habitats in Bruce Peninsula National Park, Ontario, Canada.

description: A table showing biomass and productivity of multiple habitats in Bruce Peninsula National Park, Ontario, Canada.
DOI: 10.6084/m9.figshare.3524588
title: Appendix B. A table showing soil characteristics of multiple habitats in Bruce Peninsula National Park, Ontario, Canada.

description: A table showing soil characteristics of multiple habitats in Bruce Peninsula National Park, Ontario, Canada.
DOI: 10.6084/m9.figshare.3524588.v1
title: Appendix B. A table showing soil characteristics of multiple habitats in Bruce Peninsula National Park, Ontario, Canada.

description: A table showing soil characteristics of multiple habitats in Bruce Peninsula National Park, Ontario, Canada.
DOI: 10.6084/m9.figshare.3524585
title: Appendix C. A table listing species for multiple habitats within Bruce Peninsula National Park, Ontario, Canada.

description: A table listing species for multiple habitats within Bruce Peninsula National Park, Ontario, Canada.
DOI: 10.6084/m9.figshare.3524585.v1
title: Appendix C. A table listing species for multiple habitats within Bruce Peninsula National Park, Ontario, Canada.

description: A table listing species for multiple habitats within Bruce Peninsula National Park, Ontario, Canada.
DOI: 10.6084/m9.figshare.3524582
title: Appendix A. A table describing the structure of western Amazonian forests.

description: A table describing the structure of western Amazonian forests.
DOI: 10.6084/m9.figshare.3524582.v1
title: Appendix A. A table describing the structure of western Amazonian forests.

description: A table describing the structure of western Amazonian forests.
DOI: 10.6084/m9.figshare.3524579
title: Appendix B. Principal components analysis of soil chemical and physical properties, for all sites with structural information.

description: Principal components analysis of soil chemical and physical properties, for all sites with structural information.
DOI: 10.6084/m9.figshare.3524579.v1
title: Appendix B. Principal components analysis of soil chemical and physical properties, for all sites with structural information.

description: Principal components analysis of soil chemical and physical properties, for all sites with structural information.
DOI: 10.6084/m9.figshare.3524576
title: Appendix C. Principal components analysis of soil chemical and physical properties, for those sites with dynamic information.

description: Principal components analysis of soil chemical and physical properties, for those sites with dynamic information.
DOI: 10.6084/m9.figshare.3524576.v1
title: Appendix C. Principal components analysis of soil chemical and physical properties, for those sites with dynamic information.

description: Principal components analysis of soil chemical and physical properties, for those sites with dynamic information.
DOI: 10.6084/m9.figshare.3524573
title: Appendix A. A description of arthropod collection methodology.

description: A description of arthropod collection methodology.
DOI: 10.6084/m9.figshare.3524573.v1
title: Appendix A. A description of arthropod collection methodology.

description: A description of arthropod collection methodology.
DOI: 10.6084/m9.figshare.3524570
title: Appendix B. A figure showing estimated trophic position of ants among six replicate food webs.

description: A figure showing estimated trophic position of ants among six replicate food webs.
DOI: 10.6084/m9.figshare.3524570.v1
title: Appendix B. A figure showing estimated trophic position of ants among six replicate food webs.

description: A figure showing estimated trophic position of ants among six replicate food webs.
DOI: 10.6084/m9.figshare.3524567
title: Appendix A. A description of conversion of L2 density to egg-mass density.

description: A description of conversion of L2 density to egg-mass density.
DOI: 10.6084/m9.figshare.3524567.v1
title: Appendix A. A description of conversion of L2 density to egg-mass density.

description: A description of conversion of L2 density to egg-mass density.
DOI: 10.6084/m9.figshare.3524564
title: Supplement 1. Numerical data used for Fig 3.

description: File List Numericfig3.txt Description Original numerical data for Fig. 3 in the main text: Yearly changes in the number of egg-masses (per 10 m<sup>2</sup> of branch surface area) from 1952 to 1996 in each of the 18 blocks (Fig. 2) of New Brunswick, Canada. Missing data are marked with asterisks. The numbers up to 1984 are based on direct counts of egg-masses and, thereafter, are counts of second-instar larvae within hibernacula that are equalized with the egg-mass numbers by the formula in Appendix A. For details, see section SURVEY SYSTEM.
DOI: 10.6084/m9.figshare.3524564.v1
title: Supplement 1. Numerical data used for Fig 3.

description: File List Numericfig3.txt Description Original numerical data for Fig. 3 in the main text: Yearly changes in the number of egg-masses (per 10 m<sup>2</sup> of branch surface area) from 1952 to 1996 in each of the 18 blocks (Fig. 2) of New Brunswick, Canada. Missing data are marked with asterisks. The numbers up to 1984 are based on direct counts of egg-masses and, thereafter, are counts of second-instar larvae within hibernacula that are equalized with the egg-mass numbers by the formula in Appendix A. For details, see section SURVEY SYSTEM.
DOI: 10.6084/m9.figshare.3524561
title: Appendix A. A description of the relationship between the spatially explicit habitat selection model and Arthur et al.'s (1996) model.

description: A description of the relationship between the spatially explicit habitat selection model and Arthur et al.'s (1996) model.
DOI: 10.6084/m9.figshare.3524561.v1
title: Appendix A. A description of the relationship between the spatially explicit habitat selection model and Arthur et al.'s (1996) model.

description: A description of the relationship between the spatially explicit habitat selection model and Arthur et al.'s (1996) model.
DOI: 10.6084/m9.figshare.3524558
title: Appendix B. Derivation of the two-dimensional habitat independent movement probability functions.

description: Derivation of the two-dimensional habitat independent movement probability functions.
DOI: 10.6084/m9.figshare.3524555
title: Appendix C. A description of the study area, habitat mapping, and radio-tracking data and a table of the radio-tracking data.

description: A description of the study area, habitat mapping, and radio-tracking data and a table of the radio-tracking data.
DOI: 10.6084/m9.figshare.3524555.v1
title: Appendix C. A description of the study area, habitat mapping, and radio-tracking data and a table of the radio-tracking data.

description: A description of the study area, habitat mapping, and radio-tracking data and a table of the radio-tracking data.
DOI: 10.6084/m9.figshare.3524552
title: Appendix D. A table showing the standard errors of the parameter estimates.

description: A table showing the standard errors of the parameter estimates.
DOI: 10.6084/m9.figshare.3524552.v1
title: Appendix D. A table showing the standard errors of the parameter estimates.

description: A table showing the standard errors of the parameter estimates.
DOI: 10.6084/m9.figshare.3524549
title: Appendix A. A population projection matrix model.

description: A population projection matrix model.
DOI: 10.6084/m9.figshare.3524549.v1
title: Appendix A. A population projection matrix model.

description: A population projection matrix model.
DOI: 10.6084/m9.figshare.3524543
title: Appendix B. A figure showing predicted population dynamics in the upland and flood zone in the simulation model.

description: A figure showing predicted population dynamics in the upland and flood zone in the simulation model.
DOI: 10.6084/m9.figshare.3524543.v1
title: Appendix B. A figure showing predicted population dynamics in the upland and flood zone in the simulation model.

description: A figure showing predicted population dynamics in the upland and flood zone in the simulation model.
DOI: 10.6084/m9.figshare.3524540
title: Appendix C. A description of the sensitivity analyses: the effects of variation in model parameters and model assumptions on recolonization rate in the flood zone.

description: A description of the sensitivity analyses: the effects of variation in model parameters and model assumptions on recolonization rate in the flood zone.
DOI: 10.6084/m9.figshare.3524540.v1
title: Appendix C. A description of the sensitivity analyses: the effects of variation in model parameters and model assumptions on recolonization rate in the flood zone.

description: A description of the sensitivity analyses: the effects of variation in model parameters and model assumptions on recolonization rate in the flood zone.
DOI: 10.6084/m9.figshare.3524537
title: Appendix A. A figure showing plot locations from the Carolina Vegetation Survey.

description: A figure showing plot locations from the Carolina Vegetation Survey.
DOI: 10.6084/m9.figshare.3524537.v1
title: Appendix A. A figure showing plot locations from the Carolina Vegetation Survey.

description: A figure showing plot locations from the Carolina Vegetation Survey.
DOI: 10.6084/m9.figshare.3524534
title: Supplement 1. Multiscalar richness data for 1472 Carolina Vegetation Survey plots.

description: File List CVSrichness.txt -- Richness data for 1472 plots at 6 scales. Description The file is of fixed-width delimitation and contains 11 columns and 1474 rows. The columns correspond to the variables listed below, and each row (after the first two header rows) corresponds to one vegetation plot. -- TABLE: Please see in attached file. -- To make sure the file was downloaded properly, compare the column sums to the following figures: -- TABLE: Please see in attached file. --
DOI: 10.6084/m9.figshare.3524531
title: Spike, burst and network spike data files generated using the IGM.MEA analysis package - experiment 4 (Sup Fig S3).

description: Files in this zip folder are those generated after spikelist files were run through the analysis pipeline. These files are those used to generate Supplemental Figure S3.
DOI: 10.6084/m9.figshare.3524534.v1
title: Supplement 1. Multiscalar richness data for 1472 Carolina Vegetation Survey plots.

description: File List CVSrichness.txt -- Richness data for 1472 plots at 6 scales. Description The file is of fixed-width delimitation and contains 11 columns and 1474 rows. The columns correspond to the variables listed below, and each row (after the first two header rows) corresponds to one vegetation plot. -- TABLE: Please see in attached file. -- To make sure the file was downloaded properly, compare the column sums to the following figures: -- TABLE: Please see in attached file. --
DOI: 10.6084/m9.figshare.3524531.v1
title: Data Associated with Experiment 4

description: Files in this zip folder are those generated after spikelist files were run through the analysis pipeline. These files are those used to generate figures presented in the manuscript.
DOI: 10.6084/m9.figshare.3524531.v2
title: Data Files Associated with Experiment 4

description: Files in this zip folder are those generated after spikelist files were run through the analysis pipeline. These files are those used to generate figures presented in the manuscript.
DOI: 10.6084/m9.figshare.3524531.v4
title: Spike, burst and network spike data files generated using the IGM.MEA analysis package - experiment 4 (Sup Fig S3).

description: Files in this zip folder are those generated after spikelist files were run through the analysis pipeline. These files are those used to generate Supplemental Figure S3.
DOI: 10.6084/m9.figshare.3524531.v3
title: Data Files Associated with Experiment 4

description: Files in this zip folder are those generated after spikelist files were run through the analysis pipeline. These files are those used to generate Supplemental Figure S3.
DOI: 10.6084/m9.figshare.3524528
title: Appendix A. A description of the manner in which crab spawning at spring tide was assessed.

description: A description of the manner in which crab spawning at spring tide was assessed.
DOI: 10.6084/m9.figshare.3524528.v1
title: Appendix A. A description of the manner in which crab spawning at spring tide was assessed.

description: A description of the manner in which crab spawning at spring tide was assessed.
DOI: 10.6084/m9.figshare.3524525
title: Appendix A. A description of problems with estimating and using correlations in vital rates.

description: A description of problems with estimating and using correlations in vital rates.
DOI: 10.6084/m9.figshare.3524525.v1
title: Appendix A. A description of problems with estimating and using correlations in vital rates.

description: A description of problems with estimating and using correlations in vital rates.
DOI: 10.6084/m9.figshare.3524522
title: Appendix B. A description of the simulation models used.

description: A description of the simulation models used.
DOI: 10.6084/m9.figshare.3524522.v1
title: Appendix B. A description of the simulation models used.

description: A description of the simulation models used.
DOI: 10.6084/m9.figshare.3524519
title: Appendix C. An approximation for sampling variance in stochastic growth rate estimates.

description: An approximation for sampling variance in stochastic growth rate estimates.
DOI: 10.6084/m9.figshare.3524519.v1
title: Appendix C. An approximation for sampling variance in stochastic growth rate estimates.

description: An approximation for sampling variance in stochastic growth rate estimates.
DOI: 10.6084/m9.figshare.3524516
title: Supplement 1. A MATLAB program to calculate the sampling variance in estimated log(stochastic lambda) values given different sampling intensities and durations.

description: File List EstiLamVar.m Description EstiLamVar.m is a MATLAB program (in ASCII text) that generates an output file (also in ASCII text) containing the estimated sampling variation around population growth rate estimates made with limited data. The user defines life history parameters and one or more sampling intensities and durations. For each combination of durations and intensities the program will give estimated sampling variance and other ancillary information. To code contains extensive commenting to help users understand the input variables and outputs.
DOI: 10.6084/m9.figshare.3524516.v1
title: Supplement 1. A MATLAB program to calculate the sampling variance in estimated log(stochastic lambda) values given different sampling intensities and durations.

description: File List EstiLamVar.m Description EstiLamVar.m is a MATLAB program (in ASCII text) that generates an output file (also in ASCII text) containing the estimated sampling variation around population growth rate estimates made with limited data. The user defines life history parameters and one or more sampling intensities and durations. For each combination of durations and intensities the program will give estimated sampling variance and other ancillary information. To code contains extensive commenting to help users understand the input variables and outputs.
DOI: 10.6084/m9.figshare.3524513
title: Appendix A. A table showing Leadbeater's possum abundance data and a selection of habitat covariates.

description: A table showing Leadbeater's possum abundance data and a selection of habitat covariates.
DOI: 10.6084/m9.figshare.3524513.v1
title: Appendix A. A table showing Leadbeater's possum abundance data and a selection of habitat covariates.

description: A table showing Leadbeater's possum abundance data and a selection of habitat covariates.
DOI: 10.6084/m9.figshare.3524510
title: Supplement 1. The R source code for fitting extreme value distributions.

description: File List rextreme.txt - R source code for fitting extreme value distributions<br> Description This is a text file containing R-language source code for fitting extreme value distributions. These functions were originally written in S by Stuart Coles and converted to R by Alec Stephenson. For an explanation of how to use these functions, see the Appendix in: Stuart Coles, 2001. <i> An introduction to the statistical modeling of extreme values</i>. Springer-Verlag, London, UK. These functions are included to document how the results in the paper were obtained. For other use, it is recommended that the entire suite of functions for extreme value analysis be downloaded. The Extremes Toolkit includes this suite of functions, as well as a graphical user interface (currently available at: www.esig.ucar.edu/extremevalues/evtk.html). gev.fit is a R function that estimates the parameters of the generalized extreme value distribution by the method of maximum likelihood. gpd.fit is a R function that estimates the parameters of the generalized Pareto distribution by the method of maximum likelihood. pp.fit is a R function that estimates the parameters of the generalized extreme value distribution, via the point process representation, by the method of maximum likelihood.
DOI: 10.6084/m9.figshare.3524507
title: Appendix A. A description of the likelihod function for combining detailed observational and temporally aggregated data.

description: A description of the likelihod function for combining detailed observational and temporally aggregated data.
DOI: 10.6084/m9.figshare.3524510.v1
title: Supplement 1. The R source code for fitting extreme value distributions.

description: File List rextreme.txt - R source code for fitting extreme value distributions<br> Description This is a text file containing R-language source code for fitting extreme value distributions. These functions were originally written in S by Stuart Coles and converted to R by Alec Stephenson. For an explanation of how to use these functions, see the Appendix in: Stuart Coles, 2001. <i> An introduction to the statistical modeling of extreme values</i>. Springer-Verlag, London, UK. These functions are included to document how the results in the paper were obtained. For other use, it is recommended that the entire suite of functions for extreme value analysis be downloaded. The Extremes Toolkit includes this suite of functions, as well as a graphical user interface (currently available at: www.esig.ucar.edu/extremevalues/evtk.html). gev.fit is a R function that estimates the parameters of the generalized extreme value distribution by the method of maximum likelihood. gpd.fit is a R function that estimates the parameters of the generalized Pareto distribution by the method of maximum likelihood. pp.fit is a R function that estimates the parameters of the generalized extreme value distribution, via the point process representation, by the method of maximum likelihood.
DOI: 10.6084/m9.figshare.3524507.v1
title: Appendix A. A description of the likelihod function for combining detailed observational and temporally aggregated data.

description: A description of the likelihod function for combining detailed observational and temporally aggregated data.
DOI: 10.6084/m9.figshare.3524501
title: Supplement 1. SAS macro for adaptive cluster sampling and Aletris data sets from the example.

description: File List ACS.zip -- .zip file containing SAS macro and example code, and example <i>Aletris</i> <i>bracteata</i> data sets.<br> acs.sas<br> chekika_ACS_estimation.sas<br> chekika_1.csv<br> chekika_2.csv<br> philippi.3.1.zip Description "acs.sas" is a SAS macro for computing Horvitz-Thompson and Hansen-Horwitz estimates of population size for adaptive cluster sampling with random initial sampling. This version uses ugly base SAS code and does not require SQL or SAS products other than Base SAS, and should work with versions 8.2 onward (tested with versions 9.0 and 9.1). "chekika_ACS_estimation.sas" is example SAS code calling the acs macro to analyze the Chekika <i>Aletris</i> <i>bracteata</i> example data sets. "chekika_1.csv" is an example data set in ASCII comma-delimited format from adaptive cluster sampling of <i>A. bracteata</i> at Chekika, Everglades National Park, with 1-m<sup>2</sup> quadrats. "chekika_2.csv" is an example data set in ASCII comma-delimited format from adaptive cluster sampling of <i>A. bracteata</i> at Chekika, Everglades National Park, with 4-m<sup>2</sup> quadrats. "philippi.3.1.zip" metadata file generated by morpho, including both xml and css.
DOI: 10.6084/m9.figshare.3524501.v1
title: Supplement 1. SAS macro for adaptive cluster sampling and Aletris data sets from the example.

description: File List ACS.zip -- .zip file containing SAS macro and example code, and example <i>Aletris</i> <i>bracteata</i> data sets.<br> acs.sas<br> chekika_ACS_estimation.sas<br> chekika_1.csv<br> chekika_2.csv<br> philippi.3.1.zip Description "acs.sas" is a SAS macro for computing Horvitz-Thompson and Hansen-Horwitz estimates of population size for adaptive cluster sampling with random initial sampling. This version uses ugly base SAS code and does not require SQL or SAS products other than Base SAS, and should work with versions 8.2 onward (tested with versions 9.0 and 9.1). "chekika_ACS_estimation.sas" is example SAS code calling the acs macro to analyze the Chekika <i>Aletris</i> <i>bracteata</i> example data sets. "chekika_1.csv" is an example data set in ASCII comma-delimited format from adaptive cluster sampling of <i>A. bracteata</i> at Chekika, Everglades National Park, with 1-m<sup>2</sup> quadrats. "chekika_2.csv" is an example data set in ASCII comma-delimited format from adaptive cluster sampling of <i>A. bracteata</i> at Chekika, Everglades National Park, with 4-m<sup>2</sup> quadrats. "philippi.3.1.zip" metadata file generated by morpho, including both xml and css.
DOI: 10.6084/m9.figshare.3524498
title: Appendix A. A table showing the expected number of detections on model-assisted sampling for Pseudocyphellaria rainierensis from the classification tree model of Lobaria oregana.

description: A table showing the expected number of detections on model-assisted sampling for Pseudocyphellaria rainierensis from the classification tree model of Lobaria oregana.
DOI: 10.6084/m9.figshare.3524495
title: Appendix B. A table showing the expected number of detections based on model-assisted sampling for Pseudocyphellaria rainierensis and Nephroma laevigatum from the classification tree model of Lobaria pulmonaria.

description: A table showing the expected number of detections based on model-assisted sampling for Pseudocyphellaria rainierensis and Nephroma laevigatum from the classification tree model of Lobaria pulmonaria.