cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3524696
title: Appendix B. Statistical results of logistic regression and ANOVA on Chamaecrista keyensis vital rates.

description: Statistical results of logistic regression and ANOVA on Chamaecrista keyensis vital rates.
DOI: 10.6084/m9.figshare.3524696.v1
title: Appendix B. Statistical results of logistic regression and ANOVA on Chamaecrista keyensis vital rates.

description: Statistical results of logistic regression and ANOVA on Chamaecrista keyensis vital rates.
DOI: 10.6084/m9.figshare.3524693
title: Appendix C. Results of Kaplan-Meier survival curves analysis and logistic regression on survival using plant cohort, fire treatment, and block as predictors.

description: Results of Kaplan-Meier survival curves analysis and logistic regression on survival using plant cohort, fire treatment, and block as predictors.
DOI: 10.6084/m9.figshare.3524693.v1
title: Appendix C. Results of Kaplan-Meier survival curves analysis and logistic regression on survival using plant cohort, fire treatment, and block as predictors.

description: Results of Kaplan-Meier survival curves analysis and logistic regression on survival using plant cohort, fire treatment, and block as predictors.
DOI: 10.6084/m9.figshare.3524690
title: Appendix D. Results of repeated-measures analysis and ANOVA on stem growth using plant cohort (plants existed before the burns vs. only after), fire treatment, and block as independent variables.

description: Results of repeated-measures analysis and ANOVA on stem growth using plant cohort (plants existed before the burns vs. only after), fire treatment, and block as independent variables.
DOI: 10.6084/m9.figshare.3524690.v1
title: Appendix D. Results of repeated-measures analysis and ANOVA on stem growth using plant cohort (plants existed before the burns vs. only after), fire treatment, and block as independent variables.

description: Results of repeated-measures analysis and ANOVA on stem growth using plant cohort (plants existed before the burns vs. only after), fire treatment, and block as independent variables.
DOI: 10.21227/z5bw-4912
title: Dataset with cyber attacks in HoneySELK

description: Due to the large number of vulnerabilities in information systems and the continuous activity of attackers, techniques for malicious traffic detection are required to identify and protect against cyber-attacks. Therefore, it is important to intentionally operate a cyber environment to be invaded and compromised in order to allow security professionals to analyze the evolution of the various attacks and exploited vulnerabilities.This dataset includes 2016, 2017 and 2018 cyber attacks in the HoneySELK environment.HoneySELK was developed to control, capture, analyze and visualize new and unknown attacks in real time within the research laboratory of the Electrical Engineering Department of the University of Brasília. - Rodrigues, G.A.P.; Albuquerque, R.d.O.; de Deus, F.E.G.; de Sousa, R.T., Jr.; de Oliveira Júnior, G.A. Cybersecurity and Network Forensics: Analysis of Malicious Traffic towards a Honeynet with Deep Packet Inspection. Appl. Sci. 2017, 7, 1082 (https://www.mdpi.com/2076-3417/7/10/1082).- Oliveira Júnior, G.A.; de Sousa, R.T., Jr.; de Albuquerque, R.O.; Canedo, E.D.; Grégio, A. HoneySELK: Um Ambiente para Pesquisa e Visualização de Ataques Cibernéticos em Tempo Real. In Proceedings of the XVI Simpósio Brasileiro em Segurança da Informação e de Sistemas Computacionais, Niteroi, Rio de Janeiro, Brazil, 7–10 November 2016; pp. 697–706 (http://sbseg2016.ic.uff.br/pt/anais.php and https://repositorio.unb.br/handle/10482/22886).- Oliveira Jr, G. A., Sousa Jr, R. T. de, Tenório, D. F. (2015). Desenvolvimento de um Ambiente Honeynet Virtual para Aplicação Governamental. In: The Ninth International Conference on Forensic Computer Science. v. 1. p. 70-80 (http://www.icofcs.org/2015/papers-published-009.html).
DOI: 10.6084/m9.figshare.3524687
title: Appendix E. Results of logistic regressions on fruiting or not (also summarized as percentage of fruiting plants) using plant cohort, fire treatment, and block as predictors.

description: Results of logistic regressions on fruiting or not (also summarized as percentage of fruiting plants) using plant cohort, fire treatment, and block as predictors.
DOI: 10.6084/m9.figshare.3524687.v1
title: Appendix E. Results of logistic regressions on fruiting or not (also summarized as percentage of fruiting plants) using plant cohort, fire treatment, and block as predictors.

description: Results of logistic regressions on fruiting or not (also summarized as percentage of fruiting plants) using plant cohort, fire treatment, and block as predictors.
DOI: 10.6084/m9.figshare.3524684
title: Supplement 1. Matlab source code for the algorithm described in our study.

description: File List likelihood.pdf -Matlab source code saved in a pdf format. <br> likelihood.htm -Matlab source code saved in a html format. <br> Description This is a Matlab function. Please see Matlab Reference (Matlab 2001) for executing a function. <br> <br> The function evaluates likelihood associated with the data given in the function at parameter values also specified within the function. It should return the value 30.0050 if it is running correctly.<br> <br> To evaluate likelihood at different values of parameters and data, do the following:<br> <br> 1) Comment line 6 and 7 (before "param=" and "data=") with "%". <br> 2) Replace the first line with "function [lik]=likelihood (param, data)".<br> 3) Replace the fourth line with "randn ('state', sum(100*clock))".<br> 4) Replace the fifth line with "rand ('state', sum(100*clock))".<br> 5) In Matlab command window, assign size trajectory data to the variable named "data".<br> 6) Similarly, assign parameter values to the variable named "param".<br> 7) Execute the function using command "[lik]=likelihood (param, data)".<br>
DOI: 10.6084/m9.figshare.3524681
title: Appendix A. A table showing sample sizes, coefficients of variation of canine diameters, and body masses in island and nearest mainland population pairs.

description: A table showing sample sizes, coefficients of variation of canine diameters, and body masses in island and nearest mainland population pairs.
DOI: 10.6084/m9.figshare.3524681.v1
title: Appendix A. A table showing sample sizes, coefficients of variation of canine diameters, and body masses in island and nearest mainland population pairs.

description: A table showing sample sizes, coefficients of variation of canine diameters, and body masses in island and nearest mainland population pairs.
DOI: 10.6084/m9.figshare.3524678
title: Appendix B. A table showing sample sizes, coefficients of variation of skull length (CBL), and body masses in island and nearest mainland population pairs.

description: A table showing sample sizes, coefficients of variation of skull length (CBL), and body masses in island and nearest mainland population pairs.
DOI: 10.6084/m9.figshare.3524678.v1
title: Appendix B. A table showing sample sizes, coefficients of variation of skull length (CBL), and body masses in island and nearest mainland population pairs.

description: A table showing sample sizes, coefficients of variation of skull length (CBL), and body masses in island and nearest mainland population pairs.
DOI: 10.6084/m9.figshare.3524675
title: Appendix A. A demonstration of the equivalence of Markov Chain and Mayfield estimators.

description: A demonstration of the equivalence of Markov Chain and Mayfield estimators.
DOI: 10.6084/m9.figshare.3524675.v1
title: Appendix A. A demonstration of the equivalence of Markov Chain and Mayfield estimators.

description: A demonstration of the equivalence of Markov Chain and Mayfield estimators.
DOI: 10.6084/m9.figshare.3524672
title: Appendix B. Methods for adjusting survival conditioned transition frequencies and conditioning transition frequencies upon the initial state, final state, and length of an observation.

description: Methods for adjusting survival conditioned transition frequencies and conditioning transition frequencies upon the initial state, final state, and length of an observation.
DOI: 10.6084/m9.figshare.3524672.v1
title: Appendix B. Methods for adjusting survival conditioned transition frequencies and conditioning transition frequencies upon the initial state, final state, and length of an observation.

description: Methods for adjusting survival conditioned transition frequencies and conditioning transition frequencies upon the initial state, final state, and length of an observation.
DOI: 10.6084/m9.figshare.3524669
title: Appendix C. Formulae for bias and standard errors of daily survival and overall success.

description: Formulae for bias and standard errors of daily survival and overall success.
DOI: 10.6084/m9.figshare.3524669.v1
title: Appendix C. Formulae for bias and standard errors of daily survival and overall success.

description: Formulae for bias and standard errors of daily survival and overall success.
DOI: 10.6084/m9.figshare.3524666
title: Appendix D. Figures showing bias, asymptotic standard error, and standard deviation for at all levels of sample size, monitoring interval, and discovery distribution.

description: Figures showing bias, asymptotic standard error, and standard deviation for at all levels of sample size, monitoring interval, and discovery distribution.
DOI: 10.6084/m9.figshare.3524666.v1
title: Appendix D. Figures showing bias, asymptotic standard error, and standard deviation for at all levels of sample size, monitoring interval, and discovery distribution.

description: Figures showing bias, asymptotic standard error, and standard deviation for at all levels of sample size, monitoring interval, and discovery distribution.
DOI: 10.6084/m9.figshare.3524663
title: Supplement 1. MATLAB files used for data generation, parameter estimation, and results analysis.

description: File List MayfieldMC.zip -- zip file containing all seven MATLAB functions for data generation, parameter estimation, and output processing. GenNests.m -- simulates nest-discovery data under a 2-stage nest cycle. GenObs.m -- generates monitoring data on sets of nests generated using<br> the function 'GenNests.m'. MayfieldMC.m -- computes the likelihoods of a set of observations using the<br> Markov Chain formulation. EstimateTransFreq.m -- estimates the joint distributins of hatching and age:<br> Pr(H,a) and fledging and age: Pr(F,b) for a given set of observations. RunSim.m -- otpimizes the Mayfield Markov Chain in 'MayfieldMC.mat'. DailyBar.m -- calculates bias, asymptotic standard error, and standard %deviation of daily survival estimates using output from the function 'RunSim.mat'. It also generates grouped 2-d bar graphs, as used in manuscript. OverallBar.m -- calculates bias, asymptotic standard error, and standard deviation of overall success estimates using output from the function 'RunSim.mat'. It also generates grouped 2-d bar graphs, as used in manuscript. Description The file MayfieldMC.zip contains 7 MATLAB functions used to perform the simulations described in this manuscript. The files GenNests.m, and GenObs.m are used to simulate sets of nests and observations on those nests. The file MayfieldMC.m estimates maximum likelihood values for daily survival estimates for a two-stage nest-survival model. It uses EstimateTransFreq.m to estimate hatching and fledging distributions on a set of nests given a set of observations on those nests. The file RunSim.m will perform the sequences of data generation and survival estimation described in the main text. The two remaining files DailyBar.m, OverallBar.m, were used to generate Fig. 2 and the figures in Appendix D using the output files from RunSim.m. Additional documentation and information on usage is contained in comments within the files.
DOI: 10.6084/m9.figshare.3524663.v1
title: Supplement 1. MATLAB files used for data generation, parameter estimation, and results analysis.

description: File List MayfieldMC.zip -- zip file containing all seven MATLAB functions for data generation, parameter estimation, and output processing. GenNests.m -- simulates nest-discovery data under a 2-stage nest cycle. GenObs.m -- generates monitoring data on sets of nests generated using<br> the function 'GenNests.m'. MayfieldMC.m -- computes the likelihoods of a set of observations using the<br> Markov Chain formulation. EstimateTransFreq.m -- estimates the joint distributins of hatching and age:<br> Pr(H,a) and fledging and age: Pr(F,b) for a given set of observations. RunSim.m -- otpimizes the Mayfield Markov Chain in 'MayfieldMC.mat'. DailyBar.m -- calculates bias, asymptotic standard error, and standard %deviation of daily survival estimates using output from the function 'RunSim.mat'. It also generates grouped 2-d bar graphs, as used in manuscript. OverallBar.m -- calculates bias, asymptotic standard error, and standard deviation of overall success estimates using output from the function 'RunSim.mat'. It also generates grouped 2-d bar graphs, as used in manuscript. Description The file MayfieldMC.zip contains 7 MATLAB functions used to perform the simulations described in this manuscript. The files GenNests.m, and GenObs.m are used to simulate sets of nests and observations on those nests. The file MayfieldMC.m estimates maximum likelihood values for daily survival estimates for a two-stage nest-survival model. It uses EstimateTransFreq.m to estimate hatching and fledging distributions on a set of nests given a set of observations on those nests. The file RunSim.m will perform the sequences of data generation and survival estimation described in the main text. The two remaining files DailyBar.m, OverallBar.m, were used to generate Fig. 2 and the figures in Appendix D using the output files from RunSim.m. Additional documentation and information on usage is contained in comments within the files.
DOI: 10.6084/m9.figshare.3524660
title: Index Files

description: Index Files
DOI: 10.6084/m9.figshare.3524660.v1
title: Index Files

description: Index Files
DOI: 10.6084/m9.figshare.3524657
title: Appendix A. A table of test statistics for -corrected Kolmogorov-Smirnov tests for comparisons of the species-level body size distributions to a uniform distribution.

description: A table of test statistics for -corrected Kolmogorov-Smirnov tests for comparisons of the species-level body size distributions to a uniform distribution.
DOI: 10.6084/m9.figshare.3524657.v1
title: Appendix A. A table of test statistics for -corrected Kolmogorov-Smirnov tests for comparisons of the species-level body size distributions to a uniform distribution.

description: A table of test statistics for -corrected Kolmogorov-Smirnov tests for comparisons of the species-level body size distributions to a uniform distribution.
DOI: 10.6084/m9.figshare.3524654
title: Appendix B. A table of test statistics for Kolmogorov-Smirnov two-sample tests comparing the species-level body size distributions between sites.

description: A table of test statistics for Kolmogorov-Smirnov two-sample tests comparing the species-level body size distributions between sites.
DOI: 10.6084/m9.figshare.3524654.v1
title: Appendix B. A table of test statistics for Kolmogorov-Smirnov two-sample tests comparing the species-level body size distributions between sites.

description: A table of test statistics for Kolmogorov-Smirnov two-sample tests comparing the species-level body size distributions between sites.
DOI: 10.6084/m9.figshare.3524651
title: Index Files

description: Index Files
DOI: 10.6084/m9.figshare.3524651.v1
title: Index Files

description: Index Files
DOI: 10.6084/m9.figshare.3524648
title: Appendix A. A reference list of the published studies included in the meta-analysis of the effect of emergence time on plant fitness components.

description: A reference list of the published studies included in the meta-analysis of the effect of emergence time on plant fitness components.
DOI: 10.6084/m9.figshare.3524648.v1
title: Appendix A. A reference list of the published studies included in the meta-analysis of the effect of emergence time on plant fitness components.

description: A reference list of the published studies included in the meta-analysis of the effect of emergence time on plant fitness components.
DOI: 10.6084/m9.figshare.3524645
title: Appendix B. A table (database) used in the meta-analysis of the emergence time effect on plant fitness components (survival, growth, and fecundity).

description: A table (database) used in the meta-analysis of the emergence time effect on plant fitness components (survival, growth, and fecundity).
DOI: 10.6084/m9.figshare.3524642
title: Appendix C. A phylogenetic diagram showing the relationship of the species included in the data set in which the effects of emergence time on survival, growth, and fecundity have been studied.

description: A phylogenetic diagram showing the relationship of the species included in the data set in which the effects of emergence time on survival, growth, and fecundity have been studied.
DOI: 10.6084/m9.figshare.3524642.v1
title: Appendix C. A phylogenetic diagram showing the relationship of the species included in the data set in which the effects of emergence time on survival, growth, and fecundity have been studied.

description: A phylogenetic diagram showing the relationship of the species included in the data set in which the effects of emergence time on survival, growth, and fecundity have been studied.
DOI: 10.6084/m9.figshare.3524639
title: Appendix A. A table showing results of models describing the relation between otter counts and terrestrial and marine habitat variables for coastal river otters in Prince William Sound, Alaska, USA.

description: A table showing results of models describing the relation between otter counts and terrestrial and marine habitat variables for coastal river otters in Prince William Sound, Alaska, USA.
DOI: 10.6084/m9.figshare.3524639.v1
title: Appendix A. A table showing results of models describing the relation between otter counts and terrestrial and marine habitat variables for coastal river otters in Prince William Sound, Alaska, USA.

description: A table showing results of models describing the relation between otter counts and terrestrial and marine habitat variables for coastal river otters in Prince William Sound, Alaska, USA.
DOI: 10.6084/m9.figshare.3524636
title: Appendix B. A table showing results of models describing the relation between otter counts and densities of intertidal and demersal fishes and terrestrial habitat variables for coastal river otters in Prince William Sound, Alaska, USA.

description: A table showing results of models describing the relation between otter counts and densities of intertidal and demersal fishes and terrestrial habitat variables for coastal river otters in Prince William Sound, Alaska, USA.
DOI: 10.6084/m9.figshare.3524636.v1
title: Appendix B. A table showing results of models describing the relation between otter counts and densities of intertidal and demersal fishes and terrestrial habitat variables for coastal river otters in Prince William Sound, Alaska, USA.

description: A table showing results of models describing the relation between otter counts and densities of intertidal and demersal fishes and terrestrial habitat variables for coastal river otters in Prince William Sound, Alaska, USA.
DOI: 10.6084/m9.figshare.3524633
title: Appendix A. Mathematical details on the estimation of valid variance for the regression coefficient estimates of Step Selection Functions.

description: Mathematical details on the estimation of valid variance for the regression coefficient estimates of Step Selection Functions.
DOI: 10.6084/m9.figshare.3524630
title: Appendix A. A table of definitions of model and ecological variables.

description: A table of definitions of model and ecological variables.
DOI: 10.6084/m9.figshare.3524627
title: Appendix B. An overview of the rules for the three food-web models (niche model, nested-hierarchy model, and generalized cascade model).

description: An overview of the rules for the three food-web models (niche model, nested-hierarchy model, and generalized cascade model).
DOI: 10.6084/m9.figshare.3524624
title: Appendix C. An analytical solution of the niche model.

description: An analytical solution of the niche model.
DOI: 10.6084/m9.figshare.3524624.v1
title: Appendix C. An analytical solution of the niche model.

description: An analytical solution of the niche model.
DOI: 10.6084/m9.figshare.3524621
title: Appendix D. A comparison of the cumulative distributions of the number of predators and number of links for species in the 15 community food webs investigated (empirical data) with the numerical predictions of the niche model.

description: A comparison of the cumulative distributions of the number of predators and number of links for species in the 15 community food webs investigated (empirical data) with the numerical predictions of the niche model.
DOI: 10.6084/m9.figshare.3524615
title: Appendix A. A table showing sample sizes of 1-m2 quadrats available for analysis in each patch type in each year, 1984–2001.

description: A table showing sample sizes of 1-m2 quadrats available for analysis in each patch type in each year, 1984–2001.
DOI: 10.6084/m9.figshare.3524615.v1
title: Appendix A. A table showing sample sizes of 1-m2 quadrats available for analysis in each patch type in each year, 1984–2001.

description: A table showing sample sizes of 1-m2 quadrats available for analysis in each patch type in each year, 1984–2001.
DOI: 10.6084/m9.figshare.3524612
title: Appendix B. A table showing dominant plant species, by average percent cover per 1-m2 quadrat, for each of four intervals between 1984 and 2001.

description: A table showing dominant plant species, by average percent cover per 1-m2 quadrat, for each of four intervals between 1984 and 2001.
DOI: 10.6084/m9.figshare.3524612.v1
title: Appendix B. A table showing dominant plant species, by average percent cover per 1-m2 quadrat, for each of four intervals between 1984 and 2001.

description: A table showing dominant plant species, by average percent cover per 1-m2 quadrat, for each of four intervals between 1984 and 2001.
DOI: 10.6084/m9.figshare.3524609
title: Appendix C. A table showing results of repeated measures ANOVAs on life history group cover data.

description: A table showing results of repeated measures ANOVAs on life history group cover data.
DOI: 10.6084/m9.figshare.3524606
title: Appendix D. A figure showing scores of the first detrended correspondence axis (DC1) vs. year, derived from a detrended correspondence analysis of the yearly mean relative cover values.

description: A figure showing scores of the first detrended correspondence axis (DC1) vs. year, derived from a detrended correspondence analysis of the yearly mean relative cover values.
DOI: 10.6084/m9.figshare.3524606.v1
title: Appendix D. A figure showing scores of the first detrended correspondence axis (DC1) vs. year, derived from a detrended correspondence analysis of the yearly mean relative cover values.

description: A figure showing scores of the first detrended correspondence axis (DC1) vs. year, derived from a detrended correspondence analysis of the yearly mean relative cover values.
DOI: 10.6084/m9.figshare.3524603
title: Appendix E. A table showing results of repeated measures analyses of variance (RMANOVAs) on woody stem density, species richness, and species turnover.

description: A table showing results of repeated measures analyses of variance (RMANOVAs) on woody stem density, species richness, and species turnover.
DOI: 10.6084/m9.figshare.3524603.v1
title: Appendix E. A table showing results of repeated measures analyses of variance (RMANOVAs) on woody stem density, species richness, and species turnover.

description: A table showing results of repeated measures analyses of variance (RMANOVAs) on woody stem density, species richness, and species turnover.
DOI: 10.6084/m9.figshare.3524600
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.