cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3530594
title: Appendix D. The sedimentary change at 6550 cal. yr BP: potential causes and consequences.

description: The sedimentary change at 6550 cal. yr BP: potential causes and consequences.
DOI: 10.6084/m9.figshare.3530594.v1
title: Appendix D. The sedimentary change at 6550 cal. yr BP: potential causes and consequences.

description: The sedimentary change at 6550 cal. yr BP: potential causes and consequences.
DOI: 10.6084/m9.figshare.3530591
title: Appendix A. Study islands, showing from which islands each plant species was collected.

description: Study islands, showing from which islands each plant species was collected.
DOI: 10.6084/m9.figshare.3530588
title: Appendix B. Percentage of phosphorus (P) concentration of foliage, fresh litter, and litter that has been decomposed for 91 days and for 12 plant species.

description: Percentage of phosphorus (P) concentration of foliage, fresh litter, and litter that has been decomposed for 91 days and for 12 plant species.
DOI: 10.6084/m9.figshare.3530585
title: Appendix C. Percentage concentration of polyphenolics, fiber, and cellulose for fresh litter for 12 plant species.

description: Percentage concentration of polyphenolics, fiber, and cellulose for fresh litter for 12 plant species.
DOI: 10.6084/m9.figshare.3530582
title: Appendix D. Percentage of resorption of phosphorus (P) from leaves prior to litterfall and release of P from litter during decomposition (expressed both as a percentage of the initial litter mass and as a percentage of the initial amount of P present) for 12 plant species.

description: Percentage of resorption of phosphorus (P) from leaves prior to litterfall and release of P from litter during decomposition (expressed both as a percentage of the initial litter mass and as a percentage of the initial amount of P present) for 12 plant species.
DOI: 10.6084/m9.figshare.3530579
title: Appendix A. Initial percentages of C and N, and the C:N ratios of the litters and the soil inocula.

description: Initial percentages of C and N, and the C:N ratios of the litters and the soil inocula.
DOI: 10.6084/m9.figshare.3530579.v1
title: Appendix A. Initial percentages of C and N, and the C:N ratios of the litters and the soil inocula.

description: Initial percentages of C and N, and the C:N ratios of the litters and the soil inocula.
DOI: 10.6084/m9.figshare.3530576
title: Appendix B. Bray-Curtis similarity matrices of function (cumulative carbon mineralization) for each litter type and incubation period and cluster diagram of function for each treatment across all incubation periods.

description: Bray-Curtis similarity matrices of function (cumulative carbon mineralization) for each litter type and incubation period and cluster diagram of function for each treatment across all incubation periods.
DOI: 10.6084/m9.figshare.3530573
title: Appendix A. Species cover within experimental secondary succession communities in September 2007, after three recovery growing seasons.

description: Species cover within experimental secondary succession communities in September 2007, after three recovery growing seasons.
DOI: 10.6084/m9.figshare.3530573.v1
title: Appendix A. Species cover within experimental secondary succession communities in September 2007, after three recovery growing seasons.

description: Species cover within experimental secondary succession communities in September 2007, after three recovery growing seasons.
DOI: 10.6084/m9.figshare.3530570
title: Appendix B. PCA eigenvectors from the first and second primary axes for all species.

description: PCA eigenvectors from the first and second primary axes for all species.
DOI: 10.6084/m9.figshare.3530570.v1
title: Appendix B. PCA eigenvectors from the first and second primary axes for all species.

description: PCA eigenvectors from the first and second primary axes for all species.
DOI: 10.6084/m9.figshare.3530567
title: Appendix A. Experimental methods, details, and results for algal net growth.

description: Experimental methods, details, and results for algal net growth.
DOI: 10.6084/m9.figshare.3530567.v1
title: Appendix A. Experimental methods, details, and results for algal net growth.

description: Experimental methods, details, and results for algal net growth.
DOI: 10.6084/m9.figshare.3530564
title: Supplement 1. A text file and detailed instructions for implementing the statistical test using mixed model regressions in R.

description: File List Shipley.dat with the following variables: 1. site: a numeric code giving the site from which the observations comes. 2. tree: a numeric code giving the tree from which the observation comes. 3. Lat: the latitude of the site. 4. year: the year in which the observation was taken. 5. Date: the Julian date when the bud burst occurs. 6. DD: the number of degree days when bud burst occurs. 7. Growth: the increase in diameter growth of the tree. 8. Survival: the probabil;ity of survival until the next year (used only for the simulation). 9. Live: a binary value (1 = tree lived the following winter, 0 = tree died the following winter). Help files/documentation: Shipley.pdf Description The data file is "Shipley.dat" and is a text file that can be imported into R. The documentation file "Shipley.pdf" contains a step-by-step explanation of how to use the nlme and lme4 packages in R to fit mixed-effect models and use the output to implement the inferential test for path models that is described in the <em>Ecology</em> paper.
DOI: 10.6084/m9.figshare.3530561
title: Appendix A. A proof showing that the ratio of two likelihoods initially written as the ratio of two integrals can be written as the integral of a ratio, as shown in steps 2 and 5 of the data cloned likelihood ratio algorithm and of the profile likelihood algorithm, respectively.

description: A proof showing that the ratio of two likelihoods initially written as the ratio of two integrals can be written as the integral of a ratio, as shown in steps 2 and 5 of the data cloned likelihood ratio algorithm and of the profile likelihood algorithm, respectively.
DOI: 10.6084/m9.figshare.3530561.v1
title: Appendix A. A proof showing that the ratio of two likelihoods initially written as the ratio of two integrals can be written as the integral of a ratio, as shown in steps 2 and 5 of the data cloned likelihood ratio algorithm and of the profile likelihood algorithm, respectively.

description: A proof showing that the ratio of two likelihoods initially written as the ratio of two integrals can be written as the integral of a ratio, as shown in steps 2 and 5 of the data cloned likelihood ratio algorithm and of the profile likelihood algorithm, respectively.
DOI: 10.6084/m9.figshare.3530558
title: Appendix B. Simulation study.

description: Simulation study.
DOI: 10.6084/m9.figshare.3530558.v1
title: Appendix B. Simulation study.

description: Simulation study.
DOI: 10.6084/m9.figshare.3530555
title: Supplement 1. :R program illustrating the calculations needed to construct a profile likelihood for one ofthe Stochastic Beverton-Holt state space model parameters.

description: File List SBHPL.R Description SBHPLR is a program written in R to calculate the profile likelihood for the parameter lambda of the Stochastic Beverton Holt state-space model as described in the main text. In this program, the necessary MCMC calculations are carried by calling and running the software WinBugs from R using the package BRUGS freely available at . Previous installation of WinBugs and BRUGS is required to run this code. Detailed instructions on how to use this program are listed as comments in the file header. The Data Cloning Profile Likelihood (DCPL) algorithm presented in this program is described in the original paper and the proof of why it works can be read in Appendix A.
DOI: 10.6084/m9.figshare.3530555.v1
title: Supplement 1. :R program illustrating the calculations needed to construct a profile likelihood for one ofthe Stochastic Beverton-Holt state space model parameters.

description: File List SBHPL.R Description SBHPLR is a program written in R to calculate the profile likelihood for the parameter lambda of the Stochastic Beverton Holt state-space model as described in the main text. In this program, the necessary MCMC calculations are carried by calling and running the software WinBugs from R using the package BRUGS freely available at . Previous installation of WinBugs and BRUGS is required to run this code. Detailed instructions on how to use this program are listed as comments in the file header. The Data Cloning Profile Likelihood (DCPL) algorithm presented in this program is described in the original paper and the proof of why it works can be read in Appendix A.
DOI: 10.6084/m9.figshare.3530552
title: Appendix A. Performance of six measures of variable importance.

description: Performance of six measures of variable importance.
DOI: 10.6084/m9.figshare.3530552.v1
title: Appendix A. Performance of six measures of variable importance.

description: Performance of six measures of variable importance.
DOI: 10.6084/m9.figshare.3530549
title: Appendix B. Performance of Akaike weights with a reduced sample size of 100 to increase model-selection uncertainty.

description: Performance of Akaike weights with a reduced sample size of 100 to increase model-selection uncertainty.
DOI: 10.6084/m9.figshare.3530549.v1
title: Appendix B. Performance of Akaike weights with a reduced sample size of 100 to increase model-selection uncertainty.

description: Performance of Akaike weights with a reduced sample size of 100 to increase model-selection uncertainty.
DOI: 10.6084/m9.figshare.3530546
title: Supplement 1. Source code for variable importance situations.

description: File List Variable Importance Simulation.txt Variable Importance Simulation.sas hierpart.txt hierpart.sas Description "Variable Importance Simulation.sas" is a simulation to evaluate the relative importance of random variables using Akaike weights, standardized regression coefficients, partial and semi-partial correlation coefficients, and hierarchical partitioning. <em>Remember</em> to change the subdirectory where hierpart.sas is called from the include statement. The file "hierpart.sas" is a macro that executes hierarchical partitioning analysis as described by Chevan and Sutherland in American Statistician, 1991, Vol. 45, no. 2, pp. 90–96. This macro was written by Kim Murray Berger and Mary M. Conner based on a Dominance Analysis macro written by Razia Azen and Robert Ceurvorst (http://www.uwm.edu/~azen/damacro.html). Hierarchical Partitioning analysis quantifies the importance of each predictor as its average contribution to the model r-square, across all possible models. <em>Note</em>: This program is limited to at most 10 predictors!
DOI: 10.6084/m9.figshare.3530543
title: Appendix A. Derivation of Eq. 1.

description: Derivation of Eq. 1.
DOI: 10.6084/m9.figshare.3530540
title: Appendix A. Effects of census interval, seedling height (log-transformed), and conspecific and heterospecific seedling and adult neighbors on three-year survival of established seedlings of 59 tree and shrub species in the BCI 50-ha plot, Panama.

description: Effects of census interval, seedling height (log-transformed), and conspecific and heterospecific seedling and adult neighbors on three-year survival of established seedlings of 59 tree and shrub species in the BCI 50-ha plot, Panama.
DOI: 10.6084/m9.figshare.3530540.v1
title: Appendix A. Effects of census interval, seedling height (log-transformed), and conspecific and heterospecific seedling and adult neighbors on three-year survival of established seedlings of 59 tree and shrub species in the BCI 50-ha plot, Panama.

description: Effects of census interval, seedling height (log-transformed), and conspecific and heterospecific seedling and adult neighbors on three-year survival of established seedlings of 59 tree and shrub species in the BCI 50-ha plot, Panama.
DOI: 10.6084/m9.figshare.3530537
title: Appendix B. Explanation of modified bootstrapping approach for calculating 95% confidence intervals.

description: Explanation of modified bootstrapping approach for calculating 95% confidence intervals.
DOI: 10.6084/m9.figshare.3530537.v1
title: Appendix B. Explanation of modified bootstrapping approach for calculating 95% confidence intervals.

description: Explanation of modified bootstrapping approach for calculating 95% confidence intervals.
DOI: 10.6084/m9.figshare.3530534
title: Appendix C. Results of survival models for different shade-tolerance guilds.

description: Results of survival models for different shade-tolerance guilds.
DOI: 10.6084/m9.figshare.3530531
title: Appendix D. Results of models of species’ seedling survival rates as a function of shade-tolerance guild (light-demanding, intermediate, or shade tolerant) and species abundance in the BCI 50-ha plot, Panama.

description: Results of models of species’ seedling survival rates as a function of shade-tolerance guild (light-demanding, intermediate, or shade tolerant) and species abundance in the BCI 50-ha plot, Panama.
DOI: 10.6084/m9.figshare.3530528
title: Appendix A. ANCOVA results for individual-tree basal diameter in 2006.

description: ANCOVA results for individual-tree basal diameter in 2006.
DOI: 10.6084/m9.figshare.3530525
title: Appendix A. Table of model rankings.

description: Table of model rankings.
DOI: 10.6084/m9.figshare.3530525.v1
title: Appendix A. Table of model rankings.

description: Table of model rankings.
DOI: 10.6084/m9.figshare.3530522
title: Appendix B. Large-sample simulation experiments.

description: Large-sample simulation experiments.
DOI: 10.6084/m9.figshare.3530522.v1
title: Appendix B. Large-sample simulation experiments.

description: Large-sample simulation experiments.
DOI: 10.6084/m9.figshare.3530519
title: Appendix A. Field enclosures in Station Pond at Mountain Lake Biological Station.

description: Field enclosures in Station Pond at Mountain Lake Biological Station.
DOI: 10.3886/e109184v1-43834
title: Changing the culture of concussion reporting among college athletes: The role of vested interests, organizational culture, and cultural narrative

description: The purpose of this project is to establish best practices and principles for effective messaging with respect to concussion reporting education among US college athletes. To accomplish this, it studies individual attitudes that have been the focus of most existing research, but from the standpoint of vested interests athletes have in reporting or not reporting concussion symptoms. It innovates by also studying the effects of organizational culture and cultural narrative on individual attitudes and behaviors. Both form important contexts in which the individual-level factors operate, and interact with ways in which attitudes and behaviors are expressed. Through study of high risk men’s and women’s sports, both with higher and lower professional potential, it also affords comparison of differences based on gender and post-college career prospects. The project will use a mixed-method design including surveys, experiments, interviews, and textual analysis. In Phase I, comprising years one and two, will focus on describing vested interests, organizational culture, and cultural narratives among athletes in football, wrestling, soccer, field hockey, lacrosse, and basketball. In Phase II will use conclusions from Phase I to design and experimentally test messages designed to bolster concussion reporting attitudes and behaviors. Deliverables include publications of field data analyses, experimental results, and best organizational and educational practices.
DOI: 10.6084/m9.figshare.3530519.v1
title: Appendix A. Field enclosures in Station Pond at Mountain Lake Biological Station.

description: Field enclosures in Station Pond at Mountain Lake Biological Station.
DOI: 10.6084/m9.figshare.3530516
title: Appendix B. Two examples of using spot patterns to individually identify newts.

description: Two examples of using spot patterns to individually identify newts.
DOI: 10.3886/e120921v1
title: Effect of Sport Education on students’ perceived physical literacy, motivation and physical activity levels in university required physical education: A cluster-randomized trial

description: Originating from the field of physical education, physical literacy is an individual disposition that accentuates the importance of the lifelong physical activity. Sport Education is a sport-based physical education curriculum and instructional model that has been espoused to operationalize physical literacy. The purpose of this study was to examine the effects of Sport Education within a compulsory physical education program on university students’ physical literacy and physical activity levels. A parallel-group single-blind cluster randomized research design was used to examine the effect of a 10-lesson Sport Education intervention in physical education on students’ physical activity and physical literacy from baseline, through post-intervention, and follow-up phases. A total of 372 participants completed all phases of data collection. Results showed increases in the affective and social domains of physical literacy across both groups. Findings also revealed a greater increase in daily self-reported physical activity levels and a reduction in perceived disempowering motivational climate in the Sport Education group at the follow-up phase. With a limited controlling and ego-evolving climate, Sport Education was found to be beneficial in developing the behavioral domain of undergraduate student physical literacy.
description: Response Rates: 89%
description: coded video observation; on-site questionnaire;
description: Smallest Geographic Unit: Hong Kong
DOI: 10.6084/m9.figshare.3530516.v1
title: Appendix B. Two examples of using spot patterns to individually identify newts.

description: Two examples of using spot patterns to individually identify newts.
DOI: 10.6084/m9.figshare.3530513
title: Appendix A. A table showing characteristics of study sites.

description: A table showing characteristics of study sites.
DOI: 10.6084/m9.figshare.3530513.v1
title: Appendix A. A table showing characteristics of study sites.

description: A table showing characteristics of study sites.
DOI: 10.6084/m9.figshare.3530510
title: Appendix B. A figure showing longitudinal and seasonal patterns in surface and subsurface nitrogen concentrations in Coweeta streams.

description: A figure showing longitudinal and seasonal patterns in surface and subsurface nitrogen concentrations in Coweeta streams.
DOI: 10.6084/m9.figshare.3530510.v1
title: Appendix B. A figure showing longitudinal and seasonal patterns in surface and subsurface nitrogen concentrations in Coweeta streams.

description: A figure showing longitudinal and seasonal patterns in surface and subsurface nitrogen concentrations in Coweeta streams.
DOI: 10.6084/m9.figshare.3530507
title: Data Paper. Data Paper

description: File List ASCII text, tab delimited. No compression schemes were used. The number of rows (including header row) and columns for each file are: (Apple) 26,255 rows and 17 columns; (Mango1) 1,637 rows and 11 columns; (Mango2) 2,460 rows and 11 columns; (Rubber1) 896 rows and 10 columns; (Rubber2) 12,142 rows and 14 columns; (Walnut) 1,559 rows and 12 columns. Apple_Tree.txt Mango_Tree1.txt Mango_Tree2.txt Rubber_Tree1.txt Rubber_Tree2.txt Walnut_Tree.txt Description The geometrical structure of plant canopies has many implications for plant functioning, microclimatic conditions, and plant-pathogen/herbivore interactions. Plant geometry can be described at several scales. At the finest scale, canopy structure includes the shape, size, location, and orientation of each organ in the canopy. This data set reports the three-dimensional (3-D) geometry of a set of fruit and rubber trees at the leaf scale. A 3-D magnetic digitizer was used to measure the spatial coordinates and the orientation angles of each leaf, namely, the midrib azimuth and inclination angles, and the rolling angle of leaf lamina around the midrib. In addition, for most trees, branching or flush order is given as well as the ranking of leaves along branches and the leaf identity of leaflets in compound-leaved trees. Leaf length was also measured for most trees. Leaf width was measured or estimated based on allometric relationships. Leaf area was derived from allometric relationships with leaf length and width. The data set includes the 3-D geometry of six trees: one apple, two mangos, two rubbers, and one walnut. Plant height ranged from 1.6 m for mango trees to 5.3 m for the large rubber tree. The number of leaves ranged from 895 for the small rubber tree to 26,283 for the apple tree. Total leaf area ranged from 3.6 m<sup>2</sup> for the small rubber tree to 36.4 m<sup>2</sup> for the apple tree. Most of the data were used to show how canopy geometry determines light interception and subsequently plant primary production and fruit yield. The data set was also used to test the quality of innovative methods for canopy structure description at tree scale. The apple tree was used to study the thermal environment of a leaf miner insect, to show how canopy geometry leads to a strongly heterogeneous risk of mortality, in particular under heat-wave conditions. Overall, our data set provides explicit plant architectures suitable for spatial modeling of plant physiological ecology and plant–herbivore interactions, allowing us to determine the mechanisms through which climate impacts biological and ecological processes involved in these functions. <i>Key words: canopy geometry; fruit tree; leaf area; leaf coordinates; leaf orientation; light interception; microclimate; plant architecture; rubber tree; 3-D digitizing.</i>