cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3519620
title: Supplement 1. Source genotyping data with nine microsatellite loci scored in Aedes aegypti samples from Queensland, Australia.

description: File List final_Rasic_et_al_MS#13-1305R1_Supplement_1.txt (MD5: dda0cf9829bbf30d992229588b2efd73)Description final_Rasic_et_al_MS#13-1305R1_Supplement_1.txt - Microsatellite genotyping data (in a tab delimited file format) for eight loci scored in 274 individuals from ten <i>Aedes aegypti </i>population in Queensland, Australia. Individual names listed in the first column and the population name in the second column. Fluorescent label color and microsatellite name are listed in the first row. Numbers represent fragment (allele) sizes as scored in GeneMarkerV2.2.0 (Softgenetics, State College, PA) with a LIZ 500 size standard.
DOI: 10.6084/m9.figshare.3519620.v1
title: Supplement 1. Source genotyping data with nine microsatellite loci scored in Aedes aegypti samples from Queensland, Australia.

description: File List final_Rasic_et_al_MS#13-1305R1_Supplement_1.txt (MD5: dda0cf9829bbf30d992229588b2efd73)Description final_Rasic_et_al_MS#13-1305R1_Supplement_1.txt - Microsatellite genotyping data (in a tab delimited file format) for eight loci scored in 274 individuals from ten <i>Aedes aegypti </i>population in Queensland, Australia. Individual names listed in the first column and the population name in the second column. Fluorescent label color and microsatellite name are listed in the first row. Numbers represent fragment (allele) sizes as scored in GeneMarkerV2.2.0 (Softgenetics, State College, PA) with a LIZ 500 size standard.
DOI: 10.6084/m9.figshare.3519617
title: Appendix A. Level-2 model residuals for the four dates considered (1948, 1978, 1993, and 2009).

description: Level-2 model residuals for the four dates considered (1948, 1978, 1993, and 2009).
DOI: 10.6084/m9.figshare.3519617.v1
title: Appendix A. Level-2 model residuals for the four dates considered (1948, 1978, 1993, and 2009).

description: Level-2 model residuals for the four dates considered (1948, 1978, 1993, and 2009).
DOI: 10.6084/m9.figshare.3519590
title: Supplement 1. Forest/nonforest rasters for the four dates considered, a 25-m resolution digital elevation model, and a shapefile representing the nongrazed area.

description: File List DEM25_RNHPV.tif (MD5: a3c79a31ed84d1e71640612fa50c3bfc) FOR09.img (MD5: f883124fff247221b57192aebd4ffb8f) FOR93.img (MD5: d62eeb665ce38ff9abe35a19911dea57) FOR78.img (MD5: 4af6115eac3f1f8f827d6fe098b118a0) FOR48.img (MD5: 77f6fbe599cf3e4bef59c16781fb76c4) Non_grazed.zip (md5: f9c6775d1e960155c4ea14e01793d0e8) Description DEM25_RNHPV.tif contains a 25-m resolution digital elevation model of the study area. The .img files consist of 5-m resolution binary rasters of forest cover for the four dates considered. Non_grazed.zip includes four files (.sbn, .sbx, .shp, and .shx) that constitute a shapefile of the non-grazed zone considered in this study. All maps are projected using the GRS80 Lambert Azimuthal Equal Area projection. It is important to note that this Supplement contains raw data. Our intention is to provide interested parties with the input information necessary to carry out their own analysis of land cover change in the Réserve Naturelle du Hauts Plateaux du Vercors (RNHPV), France. All of the included files are intended to be opened and manipulated in a Geographic Information System (GIS). Below is an example of code for opening either a .img or .tif file in R. Files can also be opened automatically using GIS software such as ArcMap or QGIS. <pre> #Required install.packages("raster") ; install.packages("rgdal") library(raster) setwd("//...") forest09 </pre>
DOI: 10.6084/m9.figshare.3519587
title: Supplement 1. BUGS/JAGS code and instructions for estimation of pathogen prevalence and for Jolly-Seber model to estimate population size and recapture rates.

description: File List Prevalence_model.txt (MD5: 35f23b9016b32b621e40a79dc635c578)<br> Mark_recapture_model.txt (MD5: 2e949f7d1d7d151680af797f68a55123)Description The supplements contain the BUGS/JAGS code needed to carry out the analysis. Details of how to prepare data are provided within the individual files. The first supplement (Prevalence_model.txt) describes a simple binomial model that allows estimation of pathogen prevalence from the results of a screening session. It also provides a predictive version of the same model, where the sample size of a screening session is predicted using estimates of population size and probability of recapture. The second supplement (Mark-recapture_model.txt) contains the BUGS/JAGS code to implement the Jolly-Seber model for estimation of population size and recapture rates. This model is adapted from the code provided in Ch. 10 of Kéry and Schaub (2011). MD5 hash values for supplements Prevalence_model.txt and Mark-recapture_model.txt, as calculated by HASHCALC: Prevalence_model.txt: 3329b38577e9f557a428711dd2b6949f Mark-recapture_model.txt: 8de12a049abbf56538f682ea9c205ffc
DOI: 10.6084/m9.figshare.3519587.v1
title: Supplement 1. BUGS/JAGS code and instructions for estimation of pathogen prevalence and for Jolly-Seber model to estimate population size and recapture rates.

description: File List Prevalence_model.txt (MD5: 35f23b9016b32b621e40a79dc635c578)<br> Mark_recapture_model.txt (MD5: 2e949f7d1d7d151680af797f68a55123)Description The supplements contain the BUGS/JAGS code needed to carry out the analysis. Details of how to prepare data are provided within the individual files. The first supplement (Prevalence_model.txt) describes a simple binomial model that allows estimation of pathogen prevalence from the results of a screening session. It also provides a predictive version of the same model, where the sample size of a screening session is predicted using estimates of population size and probability of recapture. The second supplement (Mark-recapture_model.txt) contains the BUGS/JAGS code to implement the Jolly-Seber model for estimation of population size and recapture rates. This model is adapted from the code provided in Ch. 10 of Kéry and Schaub (2011). MD5 hash values for supplements Prevalence_model.txt and Mark-recapture_model.txt, as calculated by HASHCALC: Prevalence_model.txt: 3329b38577e9f557a428711dd2b6949f Mark-recapture_model.txt: 8de12a049abbf56538f682ea9c205ffc
DOI: 10.6084/m9.figshare.3519584
title: Appendix A. Diversity measures at heavier and lighter grazing intensity at 1000-m² scale.

description: Diversity measures at heavier and lighter grazing intensity at 1000-m² scale.
DOI: 10.6084/m9.figshare.3519584.v1
title: Appendix A. Diversity measures at heavier and lighter grazing intensity at 1000-m² scale.

description: Diversity measures at heavier and lighter grazing intensity at 1000-m² scale.
DOI: 10.6084/m9.figshare.3519581
title: Appendix B. Nonmetric multidimensional scaling ordination (Bray-Curtis) of species based on their mean cover values for the period 2005–2009 at 1000-m² scale.

description: Nonmetric multidimensional scaling ordination (Bray-Curtis) of species based on their mean cover values for the period 2005–2009 at 1000-m² scale.
DOI: 10.6084/m9.figshare.3519581.v1
title: Appendix B. Nonmetric multidimensional scaling ordination (Bray-Curtis) of species based on their mean cover values for the period 2005–2009 at 1000-m² scale.

description: Nonmetric multidimensional scaling ordination (Bray-Curtis) of species based on their mean cover values for the period 2005–2009 at 1000-m² scale.
DOI: 10.6084/m9.figshare.3519578
title: Appendix C. Interannual standard deviations of total plant cover and the diversity measures at heavier and lighter grazing intensities at a 1000-m² scale.

description: Interannual standard deviations of total plant cover and the diversity measures at heavier and lighter grazing intensities at a 1000-m² scale.
DOI: 10.6084/m9.figshare.3519578.v1
title: Appendix C. Interannual standard deviations of total plant cover and the diversity measures at heavier and lighter grazing intensities at a 1000-m² scale.

description: Interannual standard deviations of total plant cover and the diversity measures at heavier and lighter grazing intensities at a 1000-m² scale.
DOI: 10.6084/m9.figshare.3519575
title: Appendix A. Detailed description of population spread rate model.

description: Detailed description of population spread rate model.
DOI: 10.6084/m9.figshare.3519572
title: Appendix B. Median Carduus nutans seed dispersal distances.

description: Median Carduus nutans seed dispersal distances.
DOI: 10.6084/m9.figshare.3519569
title: Appendix C. Supporting empirical study of the effects of Rhinocyllus conicus on Carduus acanthoides.

description: Supporting empirical study of the effects of Rhinocyllus conicus on Carduus acanthoides.
DOI: 10.6084/m9.figshare.3519569.v1
title: Appendix C. Supporting empirical study of the effects of Rhinocyllus conicus on Carduus acanthoides.

description: Supporting empirical study of the effects of Rhinocyllus conicus on Carduus acanthoides.
DOI: 10.6084/m9.figshare.3519566
title: Appendix A. Mean cover per plant species in field experiment, biochar effect on germination, and mean plant N:P, N:K, and P:K ratios.

description: Mean cover per plant species in field experiment, biochar effect on germination, and mean plant N:P, N:K, and P:K ratios.
DOI: 10.6084/m9.figshare.3519563
title: Appendix A. Bias in survival estimators induced by individual heterogeneity in detection probability.

description: Bias in survival estimators induced by individual heterogeneity in detection probability.
DOI: 10.6084/m9.figshare.3519563.v1
title: Appendix A. Bias in survival estimators induced by individual heterogeneity in detection probability.

description: Bias in survival estimators induced by individual heterogeneity in detection probability.
DOI: 10.6084/m9.figshare.3519560
title: Appendix B. Mitigation of temporary emigration induced bias in survival estimates without the robust design, by use of covariates, telemetry, dead recoveries, or auxiliary resightings.

description: Mitigation of temporary emigration induced bias in survival estimates without the robust design, by use of covariates, telemetry, dead recoveries, or auxiliary resightings.
DOI: 10.6084/m9.figshare.3519560.v1
title: Appendix B. Mitigation of temporary emigration induced bias in survival estimates without the robust design, by use of covariates, telemetry, dead recoveries, or auxiliary resightings.

description: Mitigation of temporary emigration induced bias in survival estimates without the robust design, by use of covariates, telemetry, dead recoveries, or auxiliary resightings.
DOI: 10.6084/m9.figshare.3519557
title: Appendix C. Underlying structure of simulation models in program MARK.

description: Underlying structure of simulation models in program MARK.
DOI: 10.6084/m9.figshare.3519557.v1
title: Appendix C. Underlying structure of simulation models in program MARK.

description: Underlying structure of simulation models in program MARK.
DOI: 10.6084/m9.figshare.3519554
title: Appendix D. Parameter Index Matrices used in program MARK simulation to generate encounter histories and estimate demographic parameters from models evaluated for survival estimate bias reduction.

description: Parameter Index Matrices used in program MARK simulation to generate encounter histories and estimate demographic parameters from models evaluated for survival estimate bias reduction.
DOI: 10.6084/m9.figshare.3519554.v1
title: Appendix D. Parameter Index Matrices used in program MARK simulation to generate encounter histories and estimate demographic parameters from models evaluated for survival estimate bias reduction.

description: Parameter Index Matrices used in program MARK simulation to generate encounter histories and estimate demographic parameters from models evaluated for survival estimate bias reduction.
DOI: 10.6084/m9.figshare.3519551
title: Appendix A. Table of validation statistics for all modeling methods for all species, including the area under the curve of the receiver operating characteristic (AUC), sensitivity, specificity, and sample sizes.

description: Table of validation statistics for all modeling methods for all species, including the area under the curve of the receiver operating characteristic (AUC), sensitivity, specificity, and sample sizes.
DOI: 10.6084/m9.figshare.3519551.v1
title: Appendix A. Table of validation statistics for all modeling methods for all species, including the area under the curve of the receiver operating characteristic (AUC), sensitivity, specificity, and sample sizes.

description: Table of validation statistics for all modeling methods for all species, including the area under the curve of the receiver operating characteristic (AUC), sensitivity, specificity, and sample sizes.
DOI: 10.6084/m9.figshare.3519548
title: Appendix B. Maps and summary plots of model projections for each species for the present and future, including (A) maps of model projections of probability of presence (PoP) for the present and future scenarios; (B) maps of projected change in habitat based on changes of modeled species presence/absence; (C) probability density function plots for projected PoPs; and (D) probability density function plots for elevations of projected suitable habitat.

description: Maps and summary plots of model projections for each species for the present and future, including (A) maps of model projections of probability of presence (PoP) for the present and future scenarios; (B) maps of projected change in habitat based on changes of modeled species presence/absence; (C) probability density function plots for projected PoPs; and (D) probability density function plots for elevations of projected suitable habitat.
DOI: 10.6084/m9.figshare.3519548.v1
title: Appendix B. Maps and summary plots of model projections for each species for the present and future, including (A) maps of model projections of probability of presence (PoP) for the present and future scenarios; (B) maps of projected change in habitat based on changes of modeled species presence/absence; (C) probability density function plots for projected PoPs; and (D) probability density function plots for elevations of projected suitable habitat.

description: Maps and summary plots of model projections for each species for the present and future, including (A) maps of model projections of probability of presence (PoP) for the present and future scenarios; (B) maps of projected change in habitat based on changes of modeled species presence/absence; (C) probability density function plots for projected PoPs; and (D) probability density function plots for elevations of projected suitable habitat.
DOI: 10.6084/m9.figshare.3519545
title: Appendix C. Seasonal and annual maps showing counts of projected species for the present and future periods.

description: Seasonal and annual maps showing counts of projected species for the present and future periods.
DOI: 10.6084/m9.figshare.3519545.v1
title: Appendix C. Seasonal and annual maps showing counts of projected species for the present and future periods.

description: Seasonal and annual maps showing counts of projected species for the present and future periods.
DOI: 10.6084/m9.figshare.3519542
title: Appendix A. Detailed information of threatened species used in this study.

description: Detailed information of threatened species used in this study.
DOI: 10.6084/m9.figshare.3519539
title: Appendix B. Detailed descriptions of input data and resulting cost layers.

description: Detailed descriptions of input data and resulting cost layers.
DOI: 10.6084/m9.figshare.3519539.v1
title: Appendix B. Detailed descriptions of input data and resulting cost layers.

description: Detailed descriptions of input data and resulting cost layers.
DOI: 10.6084/m9.figshare.3519536
title: Appendix C. Results of 30% target and selection frequency outputs from Marxan analysis.

description: Results of 30% target and selection frequency outputs from Marxan analysis.
DOI: 10.6084/m9.figshare.3519533
title: Appendix A. Sensitivity analysis of maturation reaction norms to a range of somatic growth rates scenarios.

description: Sensitivity analysis of maturation reaction norms to a range of somatic growth rates scenarios.
DOI: 10.6084/m9.figshare.3519533.v1
title: Appendix A. Sensitivity analysis of maturation reaction norms to a range of somatic growth rates scenarios.

description: Sensitivity analysis of maturation reaction norms to a range of somatic growth rates scenarios.
DOI: 10.6084/m9.figshare.3519530
title: Appendix B. Description, a figure, and a table presenting the stock–recruitment model selection.

description: Description, a figure, and a table presenting the stock–recruitment model selection.
DOI: 10.6084/m9.figshare.3519530.v1
title: Appendix B. Description, a figure, and a table presenting the stock–recruitment model selection.

description: Description, a figure, and a table presenting the stock–recruitment model selection.
DOI: 10.6084/m9.figshare.3519527
title: The Oral Cavity Squamous Cell Carcinoma - LNBio - Brazil

description: Presentation for non-clinical staff, at LNBio, Brazil, 2016.
DOI: 10.6084/m9.figshare.3519527.v2
title: The Oral Cavity Squamous Cell Carcinoma - LNBio - Brazil

description: Presentation for non-clinical staff, at LNBio, Brazil, 2016.
DOI: 10.6084/m9.figshare.3519524
title: Appendix C. A figure presenting the elasticity of growth rate to survival and reproductive-related vital rates.

description: A figure presenting the elasticity of growth rate to survival and reproductive-related vital rates.
DOI: 10.6084/m9.figshare.3519524.v1
title: Appendix C. A figure presenting the elasticity of growth rate to survival and reproductive-related vital rates.

description: A figure presenting the elasticity of growth rate to survival and reproductive-related vital rates.
DOI: 10.6084/m9.figshare.3519521
title: Appendix D. A table presenting the model selection for the contribution of ecological and evolutionary processes.

description: A table presenting the model selection for the contribution of ecological and evolutionary processes.
DOI: 10.6084/m9.figshare.3519521.v1
title: Appendix D. A table presenting the model selection for the contribution of ecological and evolutionary processes.

description: A table presenting the model selection for the contribution of ecological and evolutionary processes.
DOI: 10.6084/m9.figshare.3519518
title: Appendix A. Habitat data collection methodology and habitat character estimates for 2010 and 2011.

description: Habitat data collection methodology and habitat character estimates for 2010 and 2011.
DOI: 10.6084/m9.figshare.3519518.v1
title: Appendix A. Habitat data collection methodology and habitat character estimates for 2010 and 2011.

description: Habitat data collection methodology and habitat character estimates for 2010 and 2011.
DOI: 10.6084/m9.figshare.3519515
title: Appendix B. Polymerase chain reaction (PCR) conditions for microsatellite DNA analyses for samples collected in 2010 and 2011.

description: Polymerase chain reaction (PCR) conditions for microsatellite DNA analyses for samples collected in 2010 and 2011.
DOI: 10.6084/m9.figshare.3519515.v1
title: Appendix B. Polymerase chain reaction (PCR) conditions for microsatellite DNA analyses for samples collected in 2010 and 2011.

description: Polymerase chain reaction (PCR) conditions for microsatellite DNA analyses for samples collected in 2010 and 2011.
DOI: 10.6084/m9.figshare.3519512
title: Appendix C. Number of breeders (Nb) estimated for each sampled cohort of each population using LDNe.

description: Number of breeders (Nb) estimated for each sampled cohort of each population using LDNe.
DOI: 10.6084/m9.figshare.3519512.v1
title: Appendix C. Number of breeders (Nb) estimated for each sampled cohort of each population using LDNe.

description: Number of breeders (Nb) estimated for each sampled cohort of each population using LDNe.
DOI: 10.6084/m9.figshare.3519509
title: Appendix D. Within-population genetic diversity characteristics based on 13 microsatellite loci for all sampled cohorts of each population.

description: Within-population genetic diversity characteristics based on 13 microsatellite loci for all sampled cohorts of each population.
DOI: 10.6084/m9.figshare.3519509.v1
title: Appendix D. Within-population genetic diversity characteristics based on 13 microsatellite loci for all sampled cohorts of each population.

description: Within-population genetic diversity characteristics based on 13 microsatellite loci for all sampled cohorts of each population.
DOI: 10.6084/m9.figshare.3519506
title: Appendix E. Pairwise θST estimates between each cohort from all study populations estimated using GENETIX 4.0.

description: Pairwise θST estimates between each cohort from all study populations estimated using GENETIX 4.0.
DOI: 10.6084/m9.figshare.3519506.v1
title: Appendix E. Pairwise θST estimates between each cohort from all study populations estimated using GENETIX 4.0.

description: Pairwise θST estimates between each cohort from all study populations estimated using GENETIX 4.0.
DOI: 10.6084/m9.figshare.3519503
title: Appendix F. Directional hypothesis: generalized additive model (GAM) plots of habitat parameters vs. N and Nb in 2010 and 2011.

description: Directional hypothesis: generalized additive model (GAM) plots of habitat parameters vs. N and Nb in 2010 and 2011.
DOI: 10.6084/m9.figshare.3519503.v1
title: Appendix F. Directional hypothesis: generalized additive model (GAM) plots of habitat parameters vs. N and Nb in 2010 and 2011.

description: Directional hypothesis: generalized additive model (GAM) plots of habitat parameters vs. N and Nb in 2010 and 2011.
DOI: 10.6084/m9.figshare.3519500
title: Appendix G. Variable hypothesis: habitat parameter means vs. N and Nb in 2010 and 2011.

description: Variable hypothesis: habitat parameter means vs. N and Nb in 2010 and 2011.
DOI: 10.6084/m9.figshare.3519500.v1
title: Appendix G. Variable hypothesis: habitat parameter means vs. N and Nb in 2010 and 2011.

description: Variable hypothesis: habitat parameter means vs. N and Nb in 2010 and 2011.
DOI: 10.6084/m9.figshare.3519497
title: Appendix H. Variable hypothesis: habitat parameter coefficients of variation (CVs) vs. N and Nb in 2010 and 2011.

description: Variable hypothesis: habitat parameter coefficients of variation (CVs) vs. N and Nb in 2010 and 2011.
DOI: 10.6084/m9.figshare.3519497.v1
title: Appendix H. Variable hypothesis: habitat parameter coefficients of variation (CVs) vs. N and Nb in 2010 and 2011.

description: Variable hypothesis: habitat parameter coefficients of variation (CVs) vs. N and Nb in 2010 and 2011.
DOI: 10.6084/m9.figshare.3519494
title: Appendix I. Correctly matched Nb/N ratios for 13 populations.

description: Correctly matched Nb/N ratios for 13 populations.
DOI: 10.6084/m9.figshare.3519494.v1
title: Appendix I. Correctly matched Nb/N ratios for 13 populations.

description: Correctly matched Nb/N ratios for 13 populations.
DOI: 10.6084/m9.figshare.3519491
title: Appendix A. Hierarchical partitioning and species distribution model (SDM) accuracy results when considering number of fires as an ordinal predictor.

description: Hierarchical partitioning and species distribution model (SDM) accuracy results when considering number of fires as an ordinal predictor.
DOI: 10.6084/m9.figshare.3519491.v1
title: Appendix A. Hierarchical partitioning and species distribution model (SDM) accuracy results when considering number of fires as an ordinal predictor.

description: Hierarchical partitioning and species distribution model (SDM) accuracy results when considering number of fires as an ordinal predictor.
DOI: 10.6084/m9.figshare.3519488
title: Appendix B. Change in model accuracy metrics for alternative SDM algorithms.

description: Change in model accuracy metrics for alternative SDM algorithms.
DOI: 10.6084/m9.figshare.3519488.v1
title: Appendix B. Change in model accuracy metrics for alternative SDM algorithms.

description: Change in model accuracy metrics for alternative SDM algorithms.