cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3568539
title: Supplement 1. R code for tests of spatial pattern.

description: File List baddeley.pdf (md5: 1d735f3218c0569e832b8d54d9158663) baddeley.Rnw (md5: d1fb81b9cc5e1fcde730710808635964) baddeley.R (md5: 519b4bdc17eebbf2a3d433b017000a51) Description baddeley.pdf - <b>Readable document</b> showing <i>R</i> command input, resulting numerical output and figures, surrounded by explanatory text, as a formatted document. Generated automatically from baddeley.Rnw using the <i>R</i> command Sweave. baddeley.Rnw - <b>Original input file.</b> A text file containing a mixture of computer code (in the <i>R</i> language) and explanatory text (in LaTeX format). This file can be processed automatically by the <i>R</i> command Sweave to generate all figures and results obtained in the paper. baddeley.R - <b><i>R</i> script.</b> Text file containing <i>R</i> code only, to generate all figures and results in the paper. Extracted from baddeley.Rnw automatically using the <i>R</i> command Stangle.
DOI: 10.6084/m9.figshare.3568539.v1
title: Supplement 1. R code for tests of spatial pattern.

description: File List baddeley.pdf (md5: 1d735f3218c0569e832b8d54d9158663) baddeley.Rnw (md5: d1fb81b9cc5e1fcde730710808635964) baddeley.R (md5: 519b4bdc17eebbf2a3d433b017000a51) Description baddeley.pdf - <b>Readable document</b> showing <i>R</i> command input, resulting numerical output and figures, surrounded by explanatory text, as a formatted document. Generated automatically from baddeley.Rnw using the <i>R</i> command Sweave. baddeley.Rnw - <b>Original input file.</b> A text file containing a mixture of computer code (in the <i>R</i> language) and explanatory text (in LaTeX format). This file can be processed automatically by the <i>R</i> command Sweave to generate all figures and results obtained in the paper. baddeley.R - <b><i>R</i> script.</b> Text file containing <i>R</i> code only, to generate all figures and results in the paper. Extracted from baddeley.Rnw automatically using the <i>R</i> command Stangle.
DOI: 10.6084/m9.figshare.3568536
title: Supplement 1. R computer code for estimating the population growth rate of aphids and parasitism rates from three years of field data (Eq. 1, Fig. 1), and MATLAB computer code for fitting the data from the long-term cage experiments (Eqs. 2–9, Fig. 3) using a nonlinear state-space model.

description: File List MeisnerFieldDataAnalyses.R (MD5: cf3a7f68ff13dd1e356bba4bb7caa8b3) MeisnerFieldData.txt (MD5: 0bac717c21a5f770cf86a101f9b0824b) MeisnerLongtermCageFitting.m (MD5: 0e3913d8176549296eeee49ffa992501) MeisnerLongtermCageData.txt (MD5: 030c0e867a5c734a83dde0bfd4adf57e) meisnerfigfunct_20Aug13.m (MD5: 2d69d9822cb0798e2ec68ed9b57469f9) Description MeisnerFieldDataAnalyses.R contain R computer code for estimating the population growth rate of aphids and parasitism rates from three years of field data (Eq. 1, Fig. 1); MeisnerFieldData.txt contains the corresponding data. MeisnerLongtermCageFitting.m is matlab computer code for fitting the data from the long-term cage experiments (Eqs. 2–9, Fig. 3) using a nonlinear state-space model; the program meisnerfigfunct_20Aug13.m is a dependent, and MeisnerLongtermCageData.txt contains the data.
DOI: 10.6084/m9.figshare.3568533
title: Appendix A. Species-specific polymerase chain reaction conditions.

description: Species-specific polymerase chain reaction conditions.
DOI: 10.6084/m9.figshare.3568533.v1
title: Appendix A. Species-specific polymerase chain reaction conditions.

description: Species-specific polymerase chain reaction conditions.
DOI: 10.6084/m9.figshare.3568530
title: Appendix B. Relative population sizes of study species.

description: Relative population sizes of study species.
DOI: 10.6084/m9.figshare.3568530.v1
title: Appendix B. Relative population sizes of study species.

description: Relative population sizes of study species.
DOI: 10.6084/m9.figshare.3568527
title: Appendix C. IMa2 command lines and summary of results.

description: IMa2 command lines and summary of results.
DOI: 10.6084/m9.figshare.3568527.v1
title: Appendix C. IMa2 command lines and summary of results.

description: IMa2 command lines and summary of results.
DOI: 10.6084/m9.figshare.3568524
title: Appendix D. Covariance structure among the predictor variables.

description: Covariance structure among the predictor variables.
DOI: 10.6084/m9.figshare.3568524.v1
title: Appendix D. Covariance structure among the predictor variables.

description: Covariance structure among the predictor variables.
DOI: 10.25345/c5fj36
title: MassIVE MSV000086069 - Lysate samples of MEF feeder layer and naive human pluripotent stem cells cultured in microfluidics.
title: This is a TMT6 sample containing the following sub-samples: TAG 126: standard, used for normalization purposes, It is a mixture of different biological samples. TAG 127: Lysate of replication-incompetent MEFs cultured on VTN coating in RSeT medium. TAG 128: Lysate of naive human pluripotent stem cells cultured on a MEF feeder-layer in RSeT medium (mixed human and mouse cell population). TAG 129: Lysate of naive human pluripotent stem cells cultured on VTN coating in RSeT medium. TAG 130: Not relevant. TAG 131: standard, used for normalization purposes, It is a mixture of different biological samples. Same as sub-sample with tag 126. Detailed culture and processing methods are described in Cesare et al, under submission.
DOI: 10.6084/m9.figshare.3568521
title: Appendix A. Figures showing wave action, consumer densities, and landscape pictures showing the intertidal during the warm and cool phase.

description: Figures showing wave action, consumer densities, and landscape pictures showing the intertidal during the warm and cool phase.
DOI: 10.6084/m9.figshare.3568521.v1
title: Appendix A. Figures showing wave action, consumer densities, and landscape pictures showing the intertidal during the warm and cool phase.

description: Figures showing wave action, consumer densities, and landscape pictures showing the intertidal during the warm and cool phase.
DOI: 10.6084/m9.figshare.3568518
title: Appendix B. Tables showing analyses of variance and repeated-measures analyses of variance testing the effects of productivity, herbivore regime, and ENSO phase on percent cover and frond length through time and as an overall average, and Kruskal-Wallis tests of differences in biomass among different function groups among productivity and grazing regimes.

description: Tables showing analyses of variance and repeated-measures analyses of variance testing the effects of productivity, herbivore regime, and ENSO phase on percent cover and frond length through time and as an overall average, and Kruskal-Wallis tests of differences in biomass among different function groups among productivity and grazing regimes.
DOI: 10.6084/m9.figshare.3568518.v1
title: Appendix B. Tables showing analyses of variance and repeated-measures analyses of variance testing the effects of productivity, herbivore regime, and ENSO phase on percent cover and frond length through time and as an overall average, and Kruskal-Wallis tests of differences in biomass among different function groups among productivity and grazing regimes.

description: Tables showing analyses of variance and repeated-measures analyses of variance testing the effects of productivity, herbivore regime, and ENSO phase on percent cover and frond length through time and as an overall average, and Kruskal-Wallis tests of differences in biomass among different function groups among productivity and grazing regimes.
DOI: 10.6084/m9.figshare.3568515
title: Appendix A. Exploration of model behavior.

description: Exploration of model behavior.
DOI: 10.6084/m9.figshare.3568515.v1
title: Appendix A. Exploration of model behavior.

description: Exploration of model behavior.
DOI: 10.6084/m9.figshare.3568512
title: Appendix A. Overview of the annual Serengeti wildebeest migration including maps of the point locations of GPS collared wildebeest and zebra (by season) and a table summarizing the mean number of days tracked and distance moved per individual.

description: Overview of the annual Serengeti wildebeest migration including maps of the point locations of GPS collared wildebeest and zebra (by season) and a table summarizing the mean number of days tracked and distance moved per individual.
DOI: 10.6084/m9.figshare.3568509
title: Appendix B. Methods regarding animal capture and handling, animal morphometrics, and details of GPS collars.

description: Methods regarding animal capture and handling, animal morphometrics, and details of GPS collars.
DOI: 10.6084/m9.figshare.3568506
title: Appendix C. Additional material and methods describing how grass nitrogen, NDVI, grass biomass, the risk of predation, access to water, and exposure to anthropogenic risk were measured.

description: Additional material and methods describing how grass nitrogen, NDVI, grass biomass, the risk of predation, access to water, and exposure to anthropogenic risk were measured.
DOI: 10.6084/m9.figshare.3568503
title: Appendix D. A comparison between the full models presented in the manuscript and simplified models from a backward elimination process.

description: A comparison between the full models presented in the manuscript and simplified models from a backward elimination process.
DOI: 10.6084/m9.figshare.3568503.v1
title: Appendix D. A comparison between the full models presented in the manuscript and simplified models from a backward elimination process.

description: A comparison between the full models presented in the manuscript and simplified models from a backward elimination process.
DOI: 10.6084/m9.figshare.3568500
title: Appendix E. Frequency histogram of the average wildebeest herd size estimated from systematic ground transects.

description: Frequency histogram of the average wildebeest herd size estimated from systematic ground transects.
DOI: 10.6084/m9.figshare.3568500.v1
title: Appendix E. Frequency histogram of the average wildebeest herd size estimated from systematic ground transects.

description: Frequency histogram of the average wildebeest herd size estimated from systematic ground transects.
DOI: 10.6084/m9.figshare.3568497
title: Appendix F. Linear regression of the number of zebra observed as a function of the density of wildebeest by general habitat, suggesting that zebra might choose to stay near wildebeest in woodland areas where ambush predators are difficult to detect.

description: Linear regression of the number of zebra observed as a function of the density of wildebeest by general habitat, suggesting that zebra might choose to stay near wildebeest in woodland areas where ambush predators are difficult to detect.
DOI: 10.6084/m9.figshare.3568494
title: Supplement 1. R and winBUGs code for running the hierarchical state-space models that link movement trajectories to environmental covariates.

description: File List Hierarchical_State-space_Model.r (MD5: b9421ca192bdb4b8eef80046af09e73f) EXAMPLE.bug (MD5: 39f166eec1ac022206cb1e4c56910dcc) Description This Supplement provides the R code ("Hierarchical_State-space_Model.r") and the WinBUGS code ("EXAMPLE.bug") for applying a hierarchical state-space model to analyse movement trajectories (displacement distance and turn angles) of GPS tagged animals. The analysis requires both R (R Development Core Team 2013) and winBUGS (Lunn et al. 2000) to be installed, as well as the R2WinBUGS library which enables R to send and retrieve data to WinBUGS. The input data must have a unique identifier for each animal, an x and y location of every animal at each time step, the distance travelled from the last location, the direction of turn (in radians) relative to the direction from the last time step (i.e., a correlated random walk), and a series of environmental covariates that describe the habitat at each location (i.e., variables which might alter the distance and direction the animal chooses to move). The original code was written by J.M. Morales.
DOI: 10.6084/m9.figshare.3568494.v1
title: Supplement 1. R and winBUGs code for running the hierarchical state-space models that link movement trajectories to environmental covariates.

description: File List Hierarchical_State-space_Model.r (MD5: b9421ca192bdb4b8eef80046af09e73f) EXAMPLE.bug (MD5: 39f166eec1ac022206cb1e4c56910dcc) Description This Supplement provides the R code ("Hierarchical_State-space_Model.r") and the WinBUGS code ("EXAMPLE.bug") for applying a hierarchical state-space model to analyse movement trajectories (displacement distance and turn angles) of GPS tagged animals. The analysis requires both R (R Development Core Team 2013) and winBUGS (Lunn et al. 2000) to be installed, as well as the R2WinBUGS library which enables R to send and retrieve data to WinBUGS. The input data must have a unique identifier for each animal, an x and y location of every animal at each time step, the distance travelled from the last location, the direction of turn (in radians) relative to the direction from the last time step (i.e., a correlated random walk), and a series of environmental covariates that describe the habitat at each location (i.e., variables which might alter the distance and direction the animal chooses to move). The original code was written by J.M. Morales.
DOI: 10.6084/m9.figshare.3568491
title: Appendix A. Complementary results from remote sensing data analyses: maps of vegetation distributions; latitudinal and seasonal patterns of surface albedo, land surface temperature, and evapotranspiration for the four vegetation types considered; snowfall patterns; and spatial patterns of cloud fraction and atmospheric optical properties.

description: Complementary results from remote sensing data analyses: maps of vegetation distributions; latitudinal and seasonal patterns of surface albedo, land surface temperature, and evapotranspiration for the four vegetation types considered; snowfall patterns; and spatial patterns of cloud fraction and atmospheric optical properties.
DOI: 10.6084/m9.figshare.3568491.v1
title: Appendix A. Complementary results from remote sensing data analyses: maps of vegetation distributions; latitudinal and seasonal patterns of surface albedo, land surface temperature, and evapotranspiration for the four vegetation types considered; snowfall patterns; and spatial patterns of cloud fraction and atmospheric optical properties.

description: Complementary results from remote sensing data analyses: maps of vegetation distributions; latitudinal and seasonal patterns of surface albedo, land surface temperature, and evapotranspiration for the four vegetation types considered; snowfall patterns; and spatial patterns of cloud fraction and atmospheric optical properties.
DOI: 10.6084/m9.figshare.3568485
title: Appendix A. Persistence boundaries and invasion conditions.

description: Persistence boundaries and invasion conditions.
DOI: 10.6084/m9.figshare.3568485.v1
title: Appendix A. Persistence boundaries and invasion conditions.

description: Persistence boundaries and invasion conditions.
DOI: 10.6084/m9.figshare.3568482
title: Appendix B. Description of the full model.

description: Description of the full model.
DOI: 10.6084/m9.figshare.3568482.v1
title: Appendix B. Description of the full model.

description: Description of the full model.
DOI: 10.6084/m9.figshare.3568479
title: State-level medical and absenteeism cost of asthma in the United States

description: <i>Objective:</i> For medically treated asthma, we estimated prevalence, medical and absenteeism costs, and projected medical costs from 2015 to 2020 for the entire population and separately for children in the 50 US states and District of Columbia (DC) using the most recently available data. <i>Methods:</i> We used multiple data sources, including the Medical Expenditure Panel Survey, U.S. Census Bureau, Kaiser Family Foundation, Medical Statistical Information System, and Current Population Survey. We used a two-part regression model to estimate annual medical costs of asthma and a negative binomial model to estimate annual school and work days missed due to asthma. <i>Results:</i> Per capita medical costs of asthma ranged from $1,860 (Mississippi) to $2,514 (Michigan). Total medical costs of asthma ranged from $60.7 million (Wyoming) to $3.4 billion (California). Medicaid costs ranged from $4.1 million (Wyoming) to $566.8 million (California), Medicare from $5.9 million (DC) to $446.6 million (California), and costs paid by private insurers ranged from $27.2 million (DC) to $1.4 billion (California). Total annual school and work days lost due to asthma ranged from 22.4 thousand (Wyoming) to 1.5 million days (California) and absenteeism costs ranged from $4.4 million (Wyoming) to $345 million (California). Projected increase in medical costs from 2015 to 2020 ranged from 9% (DC) to 34% (Arizona). <i>Conclusion:</i> Medical and absenteeism costs of asthma represent a significant economic burden for states and these costs are expected to rise. Our study results emphasize the urgency for strategies to strengthen state level efforts to prevent and control asthma attacks.
DOI: 10.6084/m9.figshare.3568479.v1
title: State-level medical and absenteeism cost of asthma in the United States

description: <i>Objective:</i> For medically treated asthma, we estimated prevalence, medical and absenteeism costs, and projected medical costs from 2015 to 2020 for the entire population and separately for children in the 50 US states and District of Columbia (DC) using the most recently available data. <i>Methods:</i> We used multiple data sources, including the Medical Expenditure Panel Survey, U.S. Census Bureau, Kaiser Family Foundation, Medical Statistical Information System, and Current Population Survey. We used a two-part regression model to estimate annual medical costs of asthma and a negative binomial model to estimate annual school and work days missed due to asthma. <i>Results:</i> Per capita medical costs of asthma ranged from $1,860 (Mississippi) to $2,514 (Michigan). Total medical costs of asthma ranged from $60.7 million (Wyoming) to $3.4 billion (California). Medicaid costs ranged from $4.1 million (Wyoming) to $566.8 million (California), Medicare from $5.9 million (DC) to $446.6 million (California), and costs paid by private insurers ranged from $27.2 million (DC) to $1.4 billion (California). Total annual school and work days lost due to asthma ranged from 22.4 thousand (Wyoming) to 1.5 million days (California) and absenteeism costs ranged from $4.4 million (Wyoming) to $345 million (California). Projected increase in medical costs from 2015 to 2020 ranged from 9% (DC) to 34% (Arizona). <i>Conclusion:</i> Medical and absenteeism costs of asthma represent a significant economic burden for states and these costs are expected to rise. Our study results emphasize the urgency for strategies to strengthen state level efforts to prevent and control asthma attacks.
DOI: 10.6084/m9.figshare.3568476
title: Appendix C. Numerical examples illustrating the influence of different light supply parameters on persistence boundaries and the possibility of coexistence in absence of competitive trade-offs.

description: Numerical examples illustrating the influence of different light supply parameters on persistence boundaries and the possibility of coexistence in absence of competitive trade-offs.
DOI: 10.6084/m9.figshare.3568476.v1
title: Appendix C. Numerical examples illustrating the influence of different light supply parameters on persistence boundaries and the possibility of coexistence in absence of competitive trade-offs.

description: Numerical examples illustrating the influence of different light supply parameters on persistence boundaries and the possibility of coexistence in absence of competitive trade-offs.
DOI: 10.6084/m9.figshare.3568473
title: Appendix D. Description of the model with a minimum function for nutrient- and light-dependent growth and with fully identical benthic and pelagic trait values.

description: Description of the model with a minimum function for nutrient- and light-dependent growth and with fully identical benthic and pelagic trait values.
DOI: 10.6084/m9.figshare.3568473.v1
title: Appendix D. Description of the model with a minimum function for nutrient- and light-dependent growth and with fully identical benthic and pelagic trait values.

description: Description of the model with a minimum function for nutrient- and light-dependent growth and with fully identical benthic and pelagic trait values.
DOI: 10.6084/m9.figshare.3568470
title: Appendix A. Process equations described in the methods.

description: Process equations described in the methods.
DOI: 10.6084/m9.figshare.3568470.v1
title: Appendix A. Process equations described in the methods.

description: Process equations described in the methods.
DOI: 10.6084/m9.figshare.3568467
title: Appendix B. Initial state variables.

description: Initial state variables.
DOI: 10.6084/m9.figshare.3568464
title: Appendix C. SCAMPS model parameters, processes represented in SCAMPS model, and full equations list.

description: SCAMPS model parameters, processes represented in SCAMPS model, and full equations list.
DOI: 10.6084/m9.figshare.3568461
title: Appendix D. Figures of DN:DOC and total soil organic matter over 50 years of warming scenarios.

description: Figures of DN:DOC and total soil organic matter over 50 years of warming scenarios.
DOI: 10.6084/m9.figshare.3568461.v1
title: Appendix D. Figures of DN:DOC and total soil organic matter over 50 years of warming scenarios.

description: Figures of DN:DOC and total soil organic matter over 50 years of warming scenarios.
DOI: 10.6084/m9.figshare.3568458
title: Supplement 1. SCAMPS model code, parameters, and driver files.

description: File List TLKmodel ver12.rtf (MD5: 9ad7b5dd41ce019153866e8545e64b2c) ambient.csv (MD5: 71d8d08f844b68c444cf79e317c871e8) summer warm.csv (MD5: 7748844c0cc7759f819c517b5172431a) winter warm.csv (MD5: 454c16f03f750f78b242d46d5e508e75) year round warm.csv (MD5: 204a3c91e28fac3789f1823f14676d99) ver 12.par (MD5: 7ff047593bff86a11a8ffae530baa6d0) ver 12 NO AC.par (MD5: 90d3ce6537b4dbaa0df12ae47bc7fbc2) Description TLKmodel ver12.rtf (Code for model inPascal; compiled in Delphi 2007. Uses TMS Softwares TAdvstringgrid version 4.5.0.5; Runs on IBM compatible computers in Windows)<br> ambient.csv (temperature driver file)<br> summer warm.csv (temperature driver file)<br> winter warm.csv (temperature driver file)<br> year round warm.csv (temperature driver file)<br> ver 12.par (acclimating community parameter file)<br> ver 12 NO AC.par (non-acclimating community parameter file; same as ver 12.par, only x parameter set to 0)
DOI: 10.6084/m9.figshare.3568458.v1
title: Supplement 1. SCAMPS model code, parameters, and driver files.

description: File List TLKmodel ver12.rtf (MD5: 9ad7b5dd41ce019153866e8545e64b2c) ambient.csv (MD5: 71d8d08f844b68c444cf79e317c871e8) summer warm.csv (MD5: 7748844c0cc7759f819c517b5172431a) winter warm.csv (MD5: 454c16f03f750f78b242d46d5e508e75) year round warm.csv (MD5: 204a3c91e28fac3789f1823f14676d99) ver 12.par (MD5: 7ff047593bff86a11a8ffae530baa6d0) ver 12 NO AC.par (MD5: 90d3ce6537b4dbaa0df12ae47bc7fbc2) Description TLKmodel ver12.rtf (Code for model inPascal; compiled in Delphi 2007. Uses TMS Softwares TAdvstringgrid version 4.5.0.5; Runs on IBM compatible computers in Windows)<br> ambient.csv (temperature driver file)<br> summer warm.csv (temperature driver file)<br> winter warm.csv (temperature driver file)<br> year round warm.csv (temperature driver file)<br> ver 12.par (acclimating community parameter file)<br> ver 12 NO AC.par (non-acclimating community parameter file; same as ver 12.par, only x parameter set to 0)
DOI: 10.6084/m9.figshare.3568455
title: Appendix A. Eleven additional figures showing the fit of each element of the model to the empirical data available (e.g., bagworm dispersal, male and female emergence phenology, life span, and fecundity).

description: Eleven additional figures showing the fit of each element of the model to the empirical data available (e.g., bagworm dispersal, male and female emergence phenology, life span, and fecundity).