cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3521213
title: Appendix A. Example of landscape pair.

description: Example of landscape pair.
DOI: 10.6084/m9.figshare.3521213.v1
title: Appendix A. Example of landscape pair.

description: Example of landscape pair.
DOI: 10.6084/m9.figshare.3521210
title: Appendix B. Examples of field margin types.

description: Examples of field margin types.
DOI: 10.6084/m9.figshare.3521207
title: Appendix C. Differences in landscape and local conditions between the field boundary types.

description: Differences in landscape and local conditions between the field boundary types.
DOI: 10.6084/m9.figshare.3521207.v1
title: Appendix C. Differences in landscape and local conditions between the field boundary types.

description: Differences in landscape and local conditions between the field boundary types.
DOI: 10.6084/m9.figshare.3521204
title: Appendix D. Pearson correlations between explanatory variables.

description: Pearson correlations between explanatory variables.
DOI: 10.6084/m9.figshare.3521204.v1
title: Appendix D. Pearson correlations between explanatory variables.

description: Pearson correlations between explanatory variables.
DOI: 10.6084/m9.figshare.3521201
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.3521201.v1
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.3521198
title: Appendix A. Changes to multiple element limitation (MEL) model parameters and field measurement and model comparison.

description: Changes to multiple element limitation (MEL) model parameters and field measurement and model comparison.
DOI: 10.6084/m9.figshare.3521195
title: Appendix A. Map of the study area showing cold-spots (in blue) and hot-spots (in red) as determined by a Gi* analysis, using DISTEX values computed solely from (a) the first or (b) the second of the 2 exclosures.

description: Map of the study area showing cold-spots (in blue) and hot-spots (in red) as determined by a Gi* analysis, using DISTEX values computed solely from (a) the first or (b) the second of the 2 exclosures.
DOI: 10.6084/m9.figshare.3521195.v1
title: Appendix A. Map of the study area showing cold-spots (in blue) and hot-spots (in red) as determined by a Gi* analysis, using DISTEX values computed solely from (a) the first or (b) the second of the 2 exclosures.

description: Map of the study area showing cold-spots (in blue) and hot-spots (in red) as determined by a Gi* analysis, using DISTEX values computed solely from (a) the first or (b) the second of the 2 exclosures.
DOI: 10.6084/m9.figshare.3521192
title: Appendix A. Model rankings of the independent analyses of climate (both 1958–2010 and 1968–2010 separately), predation, and density dependence.

description: Model rankings of the independent analyses of climate (both 1958–2010 and 1968–2010 separately), predation, and density dependence.
DOI: 10.6084/m9.figshare.3521192.v1
title: Appendix A. Model rankings of the independent analyses of climate (both 1958–2010 and 1968–2010 separately), predation, and density dependence.

description: Model rankings of the independent analyses of climate (both 1958–2010 and 1968–2010 separately), predation, and density dependence.
DOI: 10.6084/m9.figshare.3521189
title: Supplement 1. Annotated INLA code for the model with snow cover extent from 1967–2010.

description: File List INLA_code.R (MD5: 68c372169a851d7616d30172ce203f50) ss_model_inla.csv (MD5: 3b3bf472211df425134b22e33dbac549) Description INLA_code.R is an R script file to analyze scaup pair abundance using a Gompertz state-space model containing a covariate for snow cover extent. This script assumes that the INLA package has been downloaded from http://www.r-inla.org. The data set (ss_model_inla.csv) should be in the working directory when running this code. ss_model_inla.csv is a comma-separated text file containing the scaup dataset. Column definitions are: y: counts from each stratum in each year from BPOP aerial survey stratum: each stratum number, adjusted for analysis in INLA, where ‘1’ = Stratum 13 as defined by the BPOP survey, ‘2’ = Stratum 14, ‘3’ = Stratum 15, ‘4’ = Stratum 16, ‘5’ = Stratum 17, and ‘6’ = Stratum 18 year: year since beginning of survey (1955) stand.snow: standardized covariate for snow cover extent N: number of segments flown in each stratum each year
DOI: 10.6084/m9.figshare.3521186
title: Appendix A. Predators identified at grasshopper sparrow nests with known fates in the Grand River Grasslands, Iowa 2010–2012.

description: Predators identified at grasshopper sparrow nests with known fates in the Grand River Grasslands, Iowa 2010–2012.
DOI: 10.6084/m9.figshare.3521186.v1
title: Appendix A. Predators identified at grasshopper sparrow nests with known fates in the Grand River Grasslands, Iowa 2010–2012.

description: Predators identified at grasshopper sparrow nests with known fates in the Grand River Grasslands, Iowa 2010–2012.
DOI: 10.6084/m9.figshare.3521183
title: Appendix B. Land cover composition surrounding research pastures.

description: Land cover composition surrounding research pastures.
DOI: 10.6084/m9.figshare.3521183.v1
title: Appendix B. Land cover composition surrounding research pastures.

description: Land cover composition surrounding research pastures.
DOI: 10.6084/m9.figshare.3521180
title: Appendix A. Bemisia tabaci sampling information and biotype composition in 2003.

description: Bemisia tabaci sampling information and biotype composition in 2003.
DOI: 10.6084/m9.figshare.3521180.v1
title: Appendix A. Bemisia tabaci sampling information and biotype composition in 2003.

description: Bemisia tabaci sampling information and biotype composition in 2003.
DOI: 10.6084/m9.figshare.3521177
title: Appendix B. Bemisia tabaci sampling information and biotype composition in 2007.

description: Bemisia tabaci sampling information and biotype composition in 2007.
DOI: 10.6084/m9.figshare.3521177.v1
title: Appendix B. Bemisia tabaci sampling information and biotype composition in 2007.

description: Bemisia tabaci sampling information and biotype composition in 2007.
DOI: 10.6084/m9.figshare.3521174
title: Appendix C. Bemisia tabaci sampling information and biotype composition in 2009.

description: Bemisia tabaci sampling information and biotype composition in 2009.
DOI: 10.6084/m9.figshare.3521174.v1
title: Appendix C. Bemisia tabaci sampling information and biotype composition in 2009.

description: Bemisia tabaci sampling information and biotype composition in 2009.
DOI: 10.6084/m9.figshare.3521171
title: Appendix D. Bemisia tabaci sampling information and biotype composition in 2011.

description: Bemisia tabaci sampling information and biotype composition in 2011.
DOI: 10.6084/m9.figshare.3521171.v1
title: Appendix D. Bemisia tabaci sampling information and biotype composition in 2011.

description: Bemisia tabaci sampling information and biotype composition in 2011.
DOI: 10.6084/m9.figshare.3521168
title: Appendix E. Bemisia tabaci sampling information and biotype composition in 2012.

description: Bemisia tabaci sampling information and biotype composition in 2012.
DOI: 10.6084/m9.figshare.3521168.v1
title: Appendix E. Bemisia tabaci sampling information and biotype composition in 2012.

description: Bemisia tabaci sampling information and biotype composition in 2012.
DOI: 10.6084/m9.figshare.3521165
title: Appendix F. TYLCV infection in samples of B. tabaci MEAM1 and MED collected from tomato in China in 2011.

description: TYLCV infection in samples of B. tabaci MEAM1 and MED collected from tomato in China in 2011.
DOI: 10.6084/m9.figshare.3521165.v1
title: Appendix F. TYLCV infection in samples of B. tabaci MEAM1 and MED collected from tomato in China in 2011.

description: TYLCV infection in samples of B. tabaci MEAM1 and MED collected from tomato in China in 2011.
DOI: 10.6084/m9.figshare.3521162
title: Appendix A. Threshold levels for daily catches triggering a day closure the following day.

description: Threshold levels for daily catches triggering a day closure the following day.
DOI: 10.6084/m9.figshare.3521162.v1
title: Appendix A. Threshold levels for daily catches triggering a day closure the following day.

description: Threshold levels for daily catches triggering a day closure the following day.
DOI: 10.6084/m9.figshare.3521159
title: Appendix B. Summary of the model and parameters in the stock assessment of the Pacific stock of chub mackerel.

description: Summary of the model and parameters in the stock assessment of the Pacific stock of chub mackerel.
DOI: 10.6084/m9.figshare.3521159.v1
title: Appendix B. Summary of the model and parameters in the stock assessment of the Pacific stock of chub mackerel.

description: Summary of the model and parameters in the stock assessment of the Pacific stock of chub mackerel.
DOI: 10.6084/m9.figshare.3521156
title: Appendix C. Diagnostics figure to show daily catches and effort when using simple GLM.

description: Diagnostics figure to show daily catches and effort when using simple GLM.
DOI: 10.6084/m9.figshare.3521156.v1
title: Appendix C. Diagnostics figure to show daily catches and effort when using simple GLM.

description: Diagnostics figure to show daily catches and effort when using simple GLM.
DOI: 10.6084/m9.figshare.3521153
title: Appendix D. Relationships between response variables and potential explanatory variables for (a) probability of &gt;0 t catch, (b) number of landing ships, and (c) daily catches.

description: Relationships between response variables and potential explanatory variables for (a) probability of &gt;0 t catch, (b) number of landing ships, and (c) daily catches.
DOI: 10.6084/m9.figshare.3521153.v1
title: Appendix D. Relationships between response variables and potential explanatory variables for (a) probability of &gt;0 t catch, (b) number of landing ships, and (c) daily catches.

description: Relationships between response variables and potential explanatory variables for (a) probability of &gt;0 t catch, (b) number of landing ships, and (c) daily catches.
DOI: 10.6084/m9.figshare.3521150
title: Supplement 1. The sample codes in R and ADMB for the estimation and simulations with a dummy data set.

description: File List 1. functions.R (MD5: 22fd7e17fd9b415ad00b83929c86a139) 2. gamma_ss4.tpl (MD5: 306a18eea79fd8158f58d72dfbaba741) 3. ndata1.csv (MD5: a2aa1f32de690becb6273395252c430e) 4. vpa.txt (MD5: c1ed50a7da11254696b2894fc3f4a3db) 5. R_code.R (MD5: c388cfe173fd72e1bcd4d81bfd8b9de3) Description The supplement includes 5 files. The R script functions.R merges variety of utility functions for conducting parameter estimation using GLM and GSSM and population dynamics simulations. The script gamma_ss4.tpl is written by ADMB and should be complied before using from R. The files ndata1.csv (daily catch and effort data) and vpa.txt (results of VPA) is the data for the simulation. Note that ndata1.csv is a “dummy data” created by a stochastic simulation using the estimated parameters because the raw data cannot be publically available. Therefore, the estimated values with this data are different from results described in the paper. The main R script for the implementation of the entire analysis in the paper is R_code.R. The script describes how to read functions.R, ndata1.csv, and vpa.txt, compile gamma_ss4.tpl, and use variety of functions in functions.R for the simulation.
DOI: 10.6084/m9.figshare.3521147
title: Appendix A. Tables showing plant species planted by site and posterior probability summaries for explanatory variables, and figures showing the range of possible conditions of unrestored field edges, distribution of specialization values, d′, for each pollinator species in our data set, species-specific estimates of between season rates of persistence and rates of colonization for (a) non-restored sites and for (b) sites at five years post-restoration as a function of those species’...

description: Tables showing plant species planted by site and posterior probability summaries for explanatory variables, and figures showing the range of possible conditions of unrestored field edges, distribution of specialization values, d′, for each pollinator species in our data set, species-specific estimates of between season rates of persistence and rates of colonization for (a) non-restored sites and for (b) sites at five years post-restoration as a function of those species’ specialization levels.
DOI: 10.6084/m9.figshare.3521144
title: Appendix A. Additional data collection methods and results of preliminary analyses for estimating adult porcupine survivorship rates at Sandhill Wildlife Area.

description: Additional data collection methods and results of preliminary analyses for estimating adult porcupine survivorship rates at Sandhill Wildlife Area.
DOI: 10.6084/m9.figshare.3521144.v1
title: Appendix A. Additional data collection methods and results of preliminary analyses for estimating adult porcupine survivorship rates at Sandhill Wildlife Area.

description: Additional data collection methods and results of preliminary analyses for estimating adult porcupine survivorship rates at Sandhill Wildlife Area.
DOI: 10.6084/m9.figshare.3521141
title: Appendix B. Additional data collection methods and results of preliminary analyses for estimating juvenile porcupine survivorship rates at Sandhill Wildlife Area.

description: Additional data collection methods and results of preliminary analyses for estimating juvenile porcupine survivorship rates at Sandhill Wildlife Area.
DOI: 10.6084/m9.figshare.3521141.v1
title: Appendix B. Additional data collection methods and results of preliminary analyses for estimating juvenile porcupine survivorship rates at Sandhill Wildlife Area.

description: Additional data collection methods and results of preliminary analyses for estimating juvenile porcupine survivorship rates at Sandhill Wildlife Area.
DOI: 10.6084/m9.figshare.3521138
title: Appendix A. Stability analysis of the coral-macroalgae model.

description: Stability analysis of the coral-macroalgae model.
DOI: 10.6084/m9.figshare.3521138.v1
title: Appendix A. Stability analysis of the coral-macroalgae model.

description: Stability analysis of the coral-macroalgae model.
DOI: 10.6084/m9.figshare.3521135
title: Appendix B. Semi-discrete model notation and description.

description: Semi-discrete model notation and description.
DOI: 10.6084/m9.figshare.3521135.v1
title: Appendix B. Semi-discrete model notation and description.

description: Semi-discrete model notation and description.
DOI: 10.6084/m9.figshare.3521132
title: Appendix A. Golden Eagles and lead poisoning literature summary.

description: Golden Eagles and lead poisoning literature summary.
DOI: 10.6084/m9.figshare.3521129
title: Appendix B. Expert elicitation methods and results.

description: Expert elicitation methods and results.
DOI: 10.6084/m9.figshare.3521129.v1
title: Appendix B. Expert elicitation methods and results.

description: Expert elicitation methods and results.
DOI: 10.6084/m9.figshare.3521126
title: Appendix C. Model equations with causal diagram.

description: Model equations with causal diagram.
DOI: 10.6084/m9.figshare.3521123
title: Appendix D. Simulation results.

description: Simulation results.
DOI: 10.6084/m9.figshare.3521120
title: Supplement 1. Matlab model code and data.

description: File List GELAM.m (MD5: 0b7829a3095eef051873e580609de32b) Location2West.txt (MD5: 4ddcd8b65a095ace631d05ca597d125c) Description The MATLAB (version R2010a, MathWorks) script GELAM.m runs a simulation model to estimate acute mortality of golden eagles due to ingesting lead from gut-piles of harvested big game animals and to assess possible mitigation strategies: non-lead ammunition and gut-pile retrieval. GELAM.m runs the simulation both at the state level, and for the Casper example. Location2West.txt contains the data we used in the MATLAB simulations, with the following columns: (1) ID number (FID), (2) number of animals harvested, (3) golden eagle abundance in hunting unit, and (4) size of hunting unit in 100 km² blocks. Information was compiled from publicly available data for Wyoming’s 2012 big game harvest (Wyoming Game and Fish Department 2013, <i>public communication: 2012 annual report of big and trophy game harvest. http://wgfd.wyo.gov/web2011/Departments/Wildlife/pdfs/HR2012_FULLREPORT0005408.pdf accessed 13 May 2014</i>) and preliminary, unpublished estimates of late summer Golden Eagle abundance provided by Ryan Nielson (<i>personal communication</i>, <i>Western EcoSystems Technology, Inc., Cheyenne, WY, February 2014</i>). The eagle density data are from ongoing work that may be revised, using methods reported in two publications: Nielson, R. M. and H. Sawyer. 2013. Estimating resource selection with count data. Ecology and Evolution 3:2233–2240. Neilson, R., L. McManus, T. Rintz, L. L. McDonald, R. K. Murphy, W. H. Howe, and R. E. Good. 2014. Monitoring abundance of golden eagles in the Western United States. Journal of Wildlife Management 78:721–730.
DOI: 10.6084/m9.figshare.3521117
title: Appendix A. Method detail: phenological event and voltinism mapping.

description: Method detail: phenological event and voltinism mapping.
DOI: 10.6084/m9.figshare.3521114
title: Appendix A. Sensitivity analysis depicting the response curves for three distance thresholds defining fire perimeters as LIMITING or NOT LIMITING subsequent fire spread.

description: Sensitivity analysis depicting the response curves for three distance thresholds defining fire perimeters as LIMITING or NOT LIMITING subsequent fire spread.
DOI: 10.6084/m9.figshare.3521114.v1
title: Appendix A. Sensitivity analysis depicting the response curves for three distance thresholds defining fire perimeters as LIMITING or NOT LIMITING subsequent fire spread.

description: Sensitivity analysis depicting the response curves for three distance thresholds defining fire perimeters as LIMITING or NOT LIMITING subsequent fire spread.
DOI: 10.6084/m9.figshare.3521111
title: Appendix A. Instructional material supplied to experts.

description: Instructional material supplied to experts.
DOI: 10.6084/m9.figshare.3521111.v1
title: Appendix A. Instructional material supplied to experts.

description: Instructional material supplied to experts.
DOI: 10.6084/m9.figshare.3521105
title: Appendix A. Supplementary information on the study sites and Google EarthTM images.

description: Supplementary information on the study sites and Google EarthTM images.
DOI: 10.6084/m9.figshare.3521099
title: Appendix B. Detailed description of image processing.

description: Detailed description of image processing.
DOI: 10.6084/m9.figshare.3521096
title: Appendix C. Identification of individual plants and point pattern analysis.

description: Identification of individual plants and point pattern analysis.
DOI: 10.6084/m9.figshare.3521093
title: Appendix D. Model description.

description: Model description.
DOI: 10.6084/m9.figshare.3521093.v1
title: Appendix D. Model description.

description: Model description.
DOI: 10.6084/m9.figshare.3521087
title: Appendix E. Supplementary results from the model.

description: Supplementary results from the model.
DOI: 10.6084/m9.figshare.3521084
title: Appendix F. Supplementary result on relationships between remotely-sensed indicator and plant positive co-occurrence measured in situ.

description: Supplementary result on relationships between remotely-sensed indicator and plant positive co-occurrence measured in situ.
DOI: 10.6084/m9.figshare.3521084.v1
title: Appendix F. Supplementary result on relationships between remotely-sensed indicator and plant positive co-occurrence measured in situ.

description: Supplementary result on relationships between remotely-sensed indicator and plant positive co-occurrence measured in situ.
DOI: 10.6084/m9.figshare.3521081
title: Appendix A. Species used for the development of generic allometric models and a description of the study sites in the Japanese biomass data set.

description: Species used for the development of generic allometric models and a description of the study sites in the Japanese biomass data set.
DOI: 10.6084/m9.figshare.3521078
title: Appendix B. Parameters of generic allometric models.

description: Parameters of generic allometric models.
DOI: 10.6084/m9.figshare.3521075
title: Appendix C. Bias of generic allometric models in tree-level biomass estimates as a function of stem diameter.

description: Bias of generic allometric models in tree-level biomass estimates as a function of stem diameter.
DOI: 10.6084/m9.figshare.3521072
title: Appendix D. Erratum in Nagano and Kira (1978) used in this study.

description: Erratum in Nagano and Kira (1978) used in this study.
DOI: 10.6084/m9.figshare.3521069
title: Appendix A. Estimated trends in catch for each lake.

description: Estimated trends in catch for each lake.
DOI: 10.6084/m9.figshare.3521069.v1
title: Appendix A. Estimated trends in catch for each lake.

description: Estimated trends in catch for each lake.
DOI: 10.6084/m9.figshare.3521066
title: Appendix B. Estimated trends in fishing effort for each lake.

description: Estimated trends in fishing effort for each lake.
DOI: 10.6084/m9.figshare.3521066.v1
title: Appendix B. Estimated trends in fishing effort for each lake.

description: Estimated trends in fishing effort for each lake.
DOI: 10.6084/m9.figshare.3521063
title: Appendix C. Estimated trends in the number of non-powered fishing boats for each lake.

description: Estimated trends in the number of non-powered fishing boats for each lake.
DOI: 10.6084/m9.figshare.3521063.v1
title: Appendix C. Estimated trends in the number of non-powered fishing boats for each lake.

description: Estimated trends in the number of non-powered fishing boats for each lake.
DOI: 10.15468/dl.6dgf33
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Medinilla exigua Merr. & L.M.Perry"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054851-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85av6r
title: Occurrence Download

description: A dataset containing 211 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microcos seretii (De Wild.) Burret"
 ]
}

 The dataset includes 211 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054853-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvrn7k
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Millettia dura Dunn"
 ]
}

 The dataset includes 192 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054854-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k95whv
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Moraea ogamana Goldblatt & J.C.Manning"
 ]
}

 The dataset includes 47 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054855-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9883qt
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Marrubium cylleneum Boiss. & Heldr."
 ]
}

 The dataset includes 85 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054856-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.