cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3558057
title: Appendix E. Construction and analysis of phase planes, including zero net growth isoclines and vector fields, to describe competitive population dynamics of Watersipora and Bugula.

description: Construction and analysis of phase planes, including zero net growth isoclines and vector fields, to describe competitive population dynamics of Watersipora and Bugula.
DOI: 10.6084/m9.figshare.3558057.v1
title: Appendix E. Construction and analysis of phase planes, including zero net growth isoclines and vector fields, to describe competitive population dynamics of Watersipora and Bugula.

description: Construction and analysis of phase planes, including zero net growth isoclines and vector fields, to describe competitive population dynamics of Watersipora and Bugula.
DOI: 10.6084/m9.figshare.3558054
title: Appendix F. Results of ANCOVA testing for the influence of environmental stress, Watersipora density, and Bugula density on mean individual size.

description: Results of ANCOVA testing for the influence of environmental stress, Watersipora density, and Bugula density on mean individual size.
DOI: 10.6084/m9.figshare.3558054.v1
title: Appendix F. Results of ANCOVA testing for the influence of environmental stress, Watersipora density, and Bugula density on mean individual size.

description: Results of ANCOVA testing for the influence of environmental stress, Watersipora density, and Bugula density on mean individual size.
DOI: 10.6084/m9.figshare.3558051
title: Appendix A. Verification of successful periwinkle and fiddler crab density manipulations.

description: Verification of successful periwinkle and fiddler crab density manipulations.
DOI: 10.6084/m9.figshare.3558051.v1
title: Appendix A. Verification of successful periwinkle and fiddler crab density manipulations.

description: Verification of successful periwinkle and fiddler crab density manipulations.
DOI: 10.6084/m9.figshare.3558048
title: Appendix B. Analysis of carbon and nitrogen content in Spartina shoots from treatments.

description: Analysis of carbon and nitrogen content in Spartina shoots from treatments.
DOI: 10.6084/m9.figshare.3558045
title: Appendix C. ANOVA and planned comparisons results for Spartina alterniflora change in stem density, aboveground biomass, proportion of scarred to total leaf length, change in summed live stem heights, and belowground biomass.

description: ANOVA and planned comparisons results for Spartina alterniflora change in stem density, aboveground biomass, proportion of scarred to total leaf length, change in summed live stem heights, and belowground biomass.
DOI: 10.6084/m9.figshare.3558045.v1
title: Appendix C. ANOVA and planned comparisons results for Spartina alterniflora change in stem density, aboveground biomass, proportion of scarred to total leaf length, change in summed live stem heights, and belowground biomass.

description: ANOVA and planned comparisons results for Spartina alterniflora change in stem density, aboveground biomass, proportion of scarred to total leaf length, change in summed live stem heights, and belowground biomass.
DOI: 10.6084/m9.figshare.3558042
title: Appendix D. Statistical analyses of sediment redox potential measurements.

description: Statistical analyses of sediment redox potential measurements.
DOI: 10.6084/m9.figshare.3558042.v1
title: Appendix D. Statistical analyses of sediment redox potential measurements.

description: Statistical analyses of sediment redox potential measurements.
DOI: 10.6084/m9.figshare.3558039
title: Appendix E. Statistical analyses of field survey measurements.

description: Statistical analyses of field survey measurements.
DOI: 10.6084/m9.figshare.3558039.v1
title: Appendix E. Statistical analyses of field survey measurements.

description: Statistical analyses of field survey measurements.
DOI: 10.6084/m9.figshare.3558036
title: Appendix A. Habitat and study site information.

description: Habitat and study site information.
DOI: 10.6084/m9.figshare.3558036.v1
title: Appendix A. Habitat and study site information.

description: Habitat and study site information.
DOI: 10.6084/m9.figshare.3558033
title: Appendix B. Plant and pollinator species lists.

description: Plant and pollinator species lists.
DOI: 10.6084/m9.figshare.3558033.v1
title: Appendix B. Plant and pollinator species lists.

description: Plant and pollinator species lists.
DOI: 10.6084/m9.figshare.3558030
title: Appendix C. Supplementary structural-equation model results.

description: Supplementary structural-equation model results.
DOI: 10.6084/m9.figshare.3558030.v1
title: Appendix C. Supplementary structural-equation model results.

description: Supplementary structural-equation model results.
DOI: 10.21227/e6yq-fn54
title: Fuel cell test profiles

description: This data set is shared to help the readers to reproduce the results of the manuscript entitled ‘’Online System Identification of a Fuel Cell Stack with Guaranteed Stability for Energy Management Applications’’ submitted in IEEE Transactions on Energy Conversion.
DOI: 10.6084/m9.figshare.3558027
title: Supplement 1. R code for the examples.

description: File List examples.R (md5: 0a15b5ce3d7c7af161da00a2c911a613) polyaCode.R (md5: e8679717d4692ec456e6becbd03027ed) estimateModels.R (md5: e8679717d4692ec456e6becbd03027ed) bootstrapCode.R (md5: 9bc8cdbfba36a18d3e572855a44cb541) Description examples.R contains R code to execute the squirrel and pheasant examples. polyaCode.R contains R code for calculations of the Dirichlet-multinomial distribution and related functions. estimateModels.R contains R code for estimating various models that include Dirichlet-multinomial error distributions by maximum likelihood estimation. bootstrapCode.R contains R code for bootstrapping comparisons of pairs of models.
DOI: 10.21227/b85y-ph57
title: Fuel cell test profiles

description: This data set is shared to help the readers to reproduce the results of the manuscript entitled ‘’Online System Identification of a Fuel Cell Stack with Guaranteed Stability for Energy Management Applications’’ submitted in IEEE Transactions on Energy Conversion.
DOI: 10.6084/m9.figshare.3558024
title: Appendix A. A box-and-whisker plot of point estimates of error rate and figures showing results of simulations.

description: A box-and-whisker plot of point estimates of error rate and figures showing results of simulations.
DOI: 10.6084/m9.figshare.3558024.v1
title: Appendix A. A box-and-whisker plot of point estimates of error rate and figures showing results of simulations.

description: A box-and-whisker plot of point estimates of error rate and figures showing results of simulations.
DOI: 10.6084/m9.figshare.3558021
title: Supplement 1. R code used for conducting the simulations.

description: File List simulation.r (MD5: 5fc2c0d472f1f3c0971e18872f453b23) Description The file simulation.r is an R script which will replicate the simulations conducted in the study. It (1) produces simulated data sets, (2) fits models to estimate transition probabilities (and, when possible, resampling error rate) using classical likelihood estimator, the method described in Conway-Cranos and Doak (2011) and the multistate dynamic occupancy model, and (3) draws some figures of simulation results.
DOI: 10.6084/m9.figshare.3558018
title: Supplement 1. Applying MAR(1) and MARSS to an ecological data set.

description: File List Hampton_Ecology_11_2087_StatReport_supplement_20130718.pdf (MD5: a7d9d3a6c0123e2ac7f06a0cffeaff5e) MAR1_MARSS_Ecology.R (MD5: 4a35bf6b2c9b33584a9f015acdc61fcf) Description A worked example of applying both MAR(1) and MARSS to an ecological data set, using the MAR1 and MARSS packages in R, a free open-source software environment for statistical computing and graphics (http://www.r-project.org/). The document is written as a self-tutorial with example R code inset in the text, and also available as a block at the end of the supplement.
DOI: 10.6084/m9.figshare.3558012
title: Data Paper. Data Paper

description: File List Mass_volume_data.txt (MD5: 8cd6a810d1b410b6aea55ea8e6406818) Allometry_Treatment_Comparisons.txt (MD5: f87e4c2c18f924639e348074ffcd8598) Allometry_Best_Estimates.txt (MD5: dff313b5c826596e872dfd991175faaa) Description Known allometric relationships between aboveground plant biomass and canopy volume allow standing biomass and net primary productivity (NPP) to be estimated non-destructively. Canopy volume–aboveground biomass relationships are published for many ecosystems, but not for most desert species. It is also unknown if elevated atmospheric carbon dioxide [CO<sub>2</sub>] affects canopy volume–aboveground biomass relationships in desert perennials, limiting efforts to model NPP in an elevated CO<sub>2</sub> environment. We measured canopy volume and aboveground biomass for perennial plants in the Mojave Desert, USA, at the Nevada Desert FACE Facility (NDFF): four species before treatment and 22 species after 10 years (1997–2007) of elevated CO<sub>2</sub>. Canopy volume to aboveground biomass allometry was estimated for each of the nine most common species individually; the remaining 13 species and unidentified dead shrubs combined to form a single “other” group. The resulting slopes and intercepts, which were estimated using a robust version of major axis regression, were compared across treatments and time points. None of the species had altered allometry in elevated CO<sub>2</sub> compared to ambient CO<sub>2</sub> treatments, nor did the relationships change over time. Data for each species were therefore combined across treatments and time points to provide the best available predictive equations relating canopy volume and aboveground biomass. The data set contains the canopy volume and aboveground biomass for all 3702 individual plants that were measured. We provide the regression coefficients relating canopy volume to aboveground biomass for both treatment and time comparisons and a single equation that predicts aboveground biomass from canopy volume for each species group. Our results suggest that grasses, forbs, and cacti may increase more rapidly in canopy volume than aboveground biomass, resulting in more shallow slopes compared to woody shrubs. The most notable limitation of this data set is that the maximum plant size at this site may be smaller than at other locations with the same species. The canopy volume to aboveground biomass equations could be improved by adding data from additional locations. Our results suggest that aboveground biomass for desert perennial plants in elevated CO<sub>2</sub> conditions may be reasonably estimated from the allometry of plants under ambient CO<sub>2</sub>. <i>Key words</i>: Acamptopappus;<i> allometry; </i>Ambrosia;<i> aridland; climate change; </i>Ephedra; Krameria; Larrea; Lycium; Pleuraphis; Psorothamnus;<i> production.</i>
DOI: 10.6084/m9.figshare.3558012.v1
title: Data Paper. Data Paper

description: File List Mass_volume_data.txt (MD5: 8cd6a810d1b410b6aea55ea8e6406818) Allometry_Treatment_Comparisons.txt (MD5: f87e4c2c18f924639e348074ffcd8598) Allometry_Best_Estimates.txt (MD5: dff313b5c826596e872dfd991175faaa) Description Known allometric relationships between aboveground plant biomass and canopy volume allow standing biomass and net primary productivity (NPP) to be estimated non-destructively. Canopy volume–aboveground biomass relationships are published for many ecosystems, but not for most desert species. It is also unknown if elevated atmospheric carbon dioxide [CO<sub>2</sub>] affects canopy volume–aboveground biomass relationships in desert perennials, limiting efforts to model NPP in an elevated CO<sub>2</sub> environment. We measured canopy volume and aboveground biomass for perennial plants in the Mojave Desert, USA, at the Nevada Desert FACE Facility (NDFF): four species before treatment and 22 species after 10 years (1997–2007) of elevated CO<sub>2</sub>. Canopy volume to aboveground biomass allometry was estimated for each of the nine most common species individually; the remaining 13 species and unidentified dead shrubs combined to form a single “other” group. The resulting slopes and intercepts, which were estimated using a robust version of major axis regression, were compared across treatments and time points. None of the species had altered allometry in elevated CO<sub>2</sub> compared to ambient CO<sub>2</sub> treatments, nor did the relationships change over time. Data for each species were therefore combined across treatments and time points to provide the best available predictive equations relating canopy volume and aboveground biomass. The data set contains the canopy volume and aboveground biomass for all 3702 individual plants that were measured. We provide the regression coefficients relating canopy volume to aboveground biomass for both treatment and time comparisons and a single equation that predicts aboveground biomass from canopy volume for each species group. Our results suggest that grasses, forbs, and cacti may increase more rapidly in canopy volume than aboveground biomass, resulting in more shallow slopes compared to woody shrubs. The most notable limitation of this data set is that the maximum plant size at this site may be smaller than at other locations with the same species. The canopy volume to aboveground biomass equations could be improved by adding data from additional locations. Our results suggest that aboveground biomass for desert perennial plants in elevated CO<sub>2</sub> conditions may be reasonably estimated from the allometry of plants under ambient CO<sub>2</sub>. <i>Key words</i>: Acamptopappus;<i> allometry; </i>Ambrosia;<i> aridland; climate change; </i>Ephedra; Krameria; Larrea; Lycium; Pleuraphis; Psorothamnus;<i> production.</i>
DOI: 10.6084/m9.figshare.3558009
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.3558006
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.3558006.v1
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.3558003
title: Data Paper. Data Paper

description: File List Antarctic_Site_Inventory_census_data_1994_2012.csv (MD5: 00871bd47b6ec30cda68d1506120bfb3) Description This data set represents the accumulation of 19 years of seabird population abundance data collected by the Antarctic Site Inventory, an opportunistic vessel-based monitoring program surveying the Antarctic Peninsula and associated sub-Antarctic Islands. This data paper, which include 1124 records from 113 locations for seven species of seabirds (Adélie Penguin [<i>Pygoscelis adeliae</i>], Gentoo Penguin [<i>P. papua</i>], Chinstrap Penguin [<i>P. antarctica</i>], Macaroni Penguin [<i>Eudyptes chrysolophus</i>], Blue-eyed Shag [<i>Phalacrocorax atriceps</i>], Kelp Gull [<i>Larus dominicanus</i>], and Southern Giant Petrel [<i>Macronectes giganteus</i>]) includes data already published by the Antarctic Site Inventory as well as seven years of recent data not previous published. Census data represent a mix of nest and chick counts; each census record includes the location, date, and precision of the census count, along with any auxiliary notes. Included with the database are maps to clarify the location of specific breeding populations that may be new (and thus not previous reported) or ambiguous. This compilation represents the best single source of raw data on the spatiotemporal dynamics of the <i>Pygoscelis</i> penguins in the Antarctic Peninsula region, and provides population data on several flying bird species less frequently studied. <i>Key words</i>: <i>Adélie penguin; Antarctic Peninsula; Blue-eyed Shag; breeding bird survey; Chinstrap Penguin; Gentoo Penguin; Macaroni Penguin; </i>Pygoscelis;<i> Southern Giant Petrel; vessel-based monitoring.</i>
DOI: 10.6084/m9.figshare.3558000
title: Appendix A. Detailed description of the project, including additional information on the study design and success rate, a budget estimate for the project as implemented by citizen scientists vs. professional biologists, and the identification of nonmonetary benefits of using citizen scientists.

description: Detailed description of the project, including additional information on the study design and success rate, a budget estimate for the project as implemented by citizen scientists vs. professional biologists, and the identification of nonmonetary benefits of using citizen scientists.
DOI: 10.6084/m9.figshare.3557997
title: Appendix B. Additional analyses of community structure vs. functional rates.

description: Additional analyses of community structure vs. functional rates.
DOI: 10.6084/m9.figshare.3557997.v1
title: Appendix B. Additional analyses of community structure vs. functional rates.

description: Additional analyses of community structure vs. functional rates.
DOI: 10.6084/m9.figshare.3557994
title: Appendix C. Experiment addressing the physical impact of invertebrate exclusion devices on dung weight loss.

description: Experiment addressing the physical impact of invertebrate exclusion devices on dung weight loss.
DOI: 10.6084/m9.figshare.3557994.v1
title: Appendix C. Experiment addressing the physical impact of invertebrate exclusion devices on dung weight loss.

description: Experiment addressing the physical impact of invertebrate exclusion devices on dung weight loss.
DOI: 10.6084/m9.figshare.3557991
title: Appendix A. Geographic distribution and morphology in Damaster blaptoides.

description: Geographic distribution and morphology in Damaster blaptoides.
DOI: 10.6084/m9.figshare.3557991.v1
title: Appendix A. Geographic distribution and morphology in Damaster blaptoides.

description: Geographic distribution and morphology in Damaster blaptoides.
DOI: 10.6084/m9.figshare.3557988
title: Appendix B. Detailed description of the carabid beetles, land snails, and trade-offs in previous studies.

description: Detailed description of the carabid beetles, land snails, and trade-offs in previous studies.
DOI: 10.6084/m9.figshare.3557988.v1
title: Appendix B. Detailed description of the carabid beetles, land snails, and trade-offs in previous studies.

description: Detailed description of the carabid beetles, land snails, and trade-offs in previous studies.
DOI: 10.6084/m9.figshare.3557985
title: Appendix C. The result of the logistic regressions.

description: The result of the logistic regressions.
DOI: 10.6084/m9.figshare.3557985.v1
title: Appendix C. The result of the logistic regressions.

description: The result of the logistic regressions.
DOI: 10.6084/m9.figshare.3557982
title: Appendix D. Statistical significance of the trade-off.

description: Statistical significance of the trade-off.
DOI: 10.6084/m9.figshare.3557982.v1
title: Appendix D. Statistical significance of the trade-off.

description: Statistical significance of the trade-off.
DOI: 10.6084/m9.figshare.3557979
title: Appendix A. Most-common ungulate species killed by the focal carnivore species in Karongwe Game Reserve, South Africa.

description: Most-common ungulate species killed by the focal carnivore species in Karongwe Game Reserve, South Africa.
DOI: 10.6084/m9.figshare.3557979.v1
title: Appendix A. Most-common ungulate species killed by the focal carnivore species in Karongwe Game Reserve, South Africa.

description: Most-common ungulate species killed by the focal carnivore species in Karongwe Game Reserve, South Africa.
DOI: 10.6084/m9.figshare.3557976
title: Appendix B. Average population size of the principal prey species and the overlap in annual utilization distribution for each species over five years in Karongwe Game Reserve, South Africa.

description: Average population size of the principal prey species and the overlap in annual utilization distribution for each species over five years in Karongwe Game Reserve, South Africa.
DOI: 10.6084/m9.figshare.3557976.v1
title: Appendix B. Average population size of the principal prey species and the overlap in annual utilization distribution for each species over five years in Karongwe Game Reserve, South Africa.

description: Average population size of the principal prey species and the overlap in annual utilization distribution for each species over five years in Karongwe Game Reserve, South Africa.
DOI: 10.6084/m9.figshare.3557973
title: Appendix C. Parameter estimates for best-supported models explaining the movement of lions, leopards, cheetahs, and African wild dogs in Karongwe Game Reserve, South Africa.

description: Parameter estimates for best-supported models explaining the movement of lions, leopards, cheetahs, and African wild dogs in Karongwe Game Reserve, South Africa.
DOI: 10.6084/m9.figshare.3557973.v1
title: Appendix C. Parameter estimates for best-supported models explaining the movement of lions, leopards, cheetahs, and African wild dogs in Karongwe Game Reserve, South Africa.

description: Parameter estimates for best-supported models explaining the movement of lions, leopards, cheetahs, and African wild dogs in Karongwe Game Reserve, South Africa.
DOI: 10.6084/m9.figshare.3557970
title: Appendix A. Description of Markov chain Monte Carlo (MCMC) methods used to simulate from the full conditional distribution for species classification parameters, and from the joint posterior distribution associated with seal transect data.

description: Description of Markov chain Monte Carlo (MCMC) methods used to simulate from the full conditional distribution for species classification parameters, and from the joint posterior distribution associated with seal transect data.
DOI: 10.6084/m9.figshare.3557970.v1
title: Appendix A. Description of Markov chain Monte Carlo (MCMC) methods used to simulate from the full conditional distribution for species classification parameters, and from the joint posterior distribution associated with seal transect data.

description: Description of Markov chain Monte Carlo (MCMC) methods used to simulate from the full conditional distribution for species classification parameters, and from the joint posterior distribution associated with seal transect data.
DOI: 10.6084/m9.figshare.3557967
title: Appendix B. Detailed simulation results for transect surveys with species misidentification.

description: Detailed simulation results for transect surveys with species misidentification.
DOI: 10.6084/m9.figshare.3557967.v1
title: Appendix B. Detailed simulation results for transect surveys with species misidentification.

description: Detailed simulation results for transect surveys with species misidentification.
DOI: 10.6084/m9.figshare.3557964
title: Appendix C. Visual depiction of distance data for ice-associated seals as obtained from 2008 Bering Sea helicopter surveys.

description: Visual depiction of distance data for ice-associated seals as obtained from 2008 Bering Sea helicopter surveys.
DOI: 10.6084/m9.figshare.3557964.v1
title: Appendix C. Visual depiction of distance data for ice-associated seals as obtained from 2008 Bering Sea helicopter surveys.

description: Visual depiction of distance data for ice-associated seals as obtained from 2008 Bering Sea helicopter surveys.
DOI: 10.6084/m9.figshare.3557961
title: Appendix D. Diagnostic plots for Markov chain Monte Carlo (MCMC) analysis of abundance and species identification for ice-associated seals encountered during 2008 Bering Sea helicopter surveys.

description: Diagnostic plots for Markov chain Monte Carlo (MCMC) analysis of abundance and species identification for ice-associated seals encountered during 2008 Bering Sea helicopter surveys.
DOI: 10.6084/m9.figshare.3557961.v1
title: Appendix D. Diagnostic plots for Markov chain Monte Carlo (MCMC) analysis of abundance and species identification for ice-associated seals encountered during 2008 Bering Sea helicopter surveys.

description: Diagnostic plots for Markov chain Monte Carlo (MCMC) analysis of abundance and species identification for ice-associated seals encountered during 2008 Bering Sea helicopter surveys.
DOI: 10.6084/m9.figshare.3557958
title: Appendix E. Posterior means and standard errors for estimated 2008 Bering sea seal survey classification rates.

description: Posterior means and standard errors for estimated 2008 Bering sea seal survey classification rates.