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An arboreal lifestyle is thought to be central to primate origins, and most extant primate species still live in the trees. Nonetheless, terrestrial locomotion is a widespread adaptation which has arisen repeatedly within the primate lineage. The absence of terrestriality among the New World monkeys (Platyrrhini) is thus notable and raises questions about the ecological pressures that constrain the expansion of platyrrhines into terrestrial niches. Here, we report the results of a natural experiment, comparing patterns of terrestrial behavior in white-faced capuchin monkeys (Cebus capucinus imitator) living on two islands off of the Pacific coast of Panama that lack mammalian predators (island sites) with the behavior of capuchins at three sites in central Panama with more intact predator communities (mainland sites). Surveys with camera traps revealed increased terrestriality in island vs. mainland sites. Capuchin detection rates were higher, the range of party sizes observed was larger, and individuals engaged in a wider range of terrestrial behaviors on the islands lacking mammalian predators. Further, females carrying infants were frequently photographed on the ground at the island sites, but never at the mainland sites. These findings support the longstanding hypothesis that predators constrain the exploitation of terrestrial niches by primates. These results are also consistent with the hypothesis that arboreal locomotion imposes costs that primates will avoid by walking on the ground when predation risk is low.
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This dataset is a bibliographical database associated to the journal article "Twenty Years of Distributed Port-Hamiltonian Systems: A Literature Review" by R. Rashad, F. Califano, A.J. van der Schaft, and S. Stramigioli. In this article we review the research studies carried out in the past twenty years in the field of Distributed Port-Hamiltonian systems. The dataset includes the papers reviewed in this article, classified in their respective groups, which are over 150 studies. In addition, the dataset has an extra of 80 more studies that were not cited in the review paper, but are related to the field. All journal articles and the majority of the conference proceedings have their DOI included in the dataset. The main .bib file is named "Reference_List_Review". We hope this could guide new researchers in the field and accelerate the research and development of this powerful paradigm.
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Hardware design for build a Step Width System Capture
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Open data and R analysis scripts for the paper as submitted for publication: "Poppelaars, E. S., Klackl, J., Scheepers, DT, Mühlberger, C., & Jonas, E. (2019). Reflecting on existential threats elicits self-reported negative affect but no physiological arousal." A dataset of 171 undergraduate students were randomly allocated to one of four existential threat conditions: mortality salience, freedom restriction, uncontrollability, and uncertainty; or to the non-existential threat condition: social-evaluative threat; or to a control condition (TV salience). Three facets of arousal were measured: positive and negative affect before and after reflection, subjective arousal during baseline and reflection, and physiological activation during baseline and reflection (electrodermal, cardiovascular, and respiratory), as well as personality traits (e.g. trait avoidance and approach, self-esteem). Description of files: - File 'README.txt' contains the description of the files (metadata). - File '20191024_IJMData_brief.sav' contains the raw data. - Files 'EXI.outl.del.RData' contains the complete dataset with missing values, with extra variables calculated, and with outliers deleted. - File 'Codebook_EXI.outl.del.csv' contains a description of all variables in the 'EXI.outl.del.RData' file (metadata). - Files 'EXI.outl.del.imp.RData' and 'EXI.outl.del.imp.extra.RData' contain multiple imputed datasets (without missing values) that can be used to reproduce results from the paper. - File '01_CalculationOfData.R' is an R analysis script that imports the raw data, calculates new variables, and imputes missing data via multiple imputation using the 'predictorMatrixAdj.xlsx' file. - File '02_AnalysisOfImputedData.R' is an R analysis script that calculates descriptive statistics, creates plots, and tests hypotheses using t-tests, Bayesian statistics, and multiple lineair regressions. Also uses the custom functions: 'BF.evidence.R', 'cohen.d.magnitude.R' and 'p.value.sig.R'.
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COVID-19 reported cases and deaths through 3/31/2020 world wide, excluding China and South Korea
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This data set contains the following data files: - `biomat-conductivity.csv`: Measured hydraulic conductivities of the soil and biomat - `biomat-growth.csv`: Time for sensor positions (within upper 5 cm) to reach a 2.5% increase in VWC for each site and treatment - `biomat-parameters.csv`: Parameters for biomat growth models - `effluent-data.csv`: Effluent pollutant concentrations - `hydrus-parameters.csv`: Parameters used in HYDRUS modeling - `met-data.csv`: Meteorological data - `sensor-control.csv`: VWC observations for control sensors installed outside the soil treatment unit - `sensor-meta.csv`: Meta data for sensor locations - `site-meta.csv`: Meta data for the research sites - `vwc-predrought.csv`: VWC changes before the onset of the summer 2018 drought - `vwc-postdrought.csv`: VWC changes during the summer 2018 drought A detailed description of the content of each data file is given in the codebook provided with this dataset.
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The descriptive data presented in this article is used to measure the level of student’s satisfaction with university facilities which are provided by the university as well as the government. This study involved 280 respondents comprising diploma, bachelor degree and post graduate student at Malaysian Public University. An open-ended question with 10 Likert Scale was distributed to respondents to identify the level of student’s satisfaction with the facilities provided by the university. The one to 10 scale measurements starting with one is Strongly Dissatisfied to 10 is Strongly Satisfied has been used to measure the level of student’s satisfaction towards 14 facilities at the university.
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This dataset contains the primary data used in: "Multi-epoch X-ray burst modelling: MCMC with large grids of 1D simulations", Johnston et al. (2020). In this work, we interpolated and sampled a grid of 3840 KEPLER burst models using Markov Chain Monte Carlo (MCMC) methods to produce posterior distributions for the system parameters of the "Clocked Burster", GS 1826-238. Provided here is the full burst model grid and the raw MCMC sample chains. More details on the files, and how to load them, are provided in README.md
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In this repository we make available two datasets of research on soccer analysis data. - baseNormalizada - is a dataset that joins real data of soccer players transfers with athletes abilities gathered from the eletronic soccer game FIFA. - Network_dataset - is a dataset that gatheres all major soccer transfers that occured on the soccer world between 1990 - 2017. For both datasets we make available the crawler for future updates.
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