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This data is used to analyze the structural equation of the article
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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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Data used for plotting figures in the main context. -- First commit: Nov 26th, 2019 for review. -- Second commit: Apt 1st, 2020 for publication
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Amyotrophic lateral sclerosis is a rapidly progressive neurodegeneration disease,with a hall mark of neuronal inclusions, neuron loss and gliosis. The pathogenesis of ALS remains unclear. And the only two drugs riluzole and edaravone exhibit limited efficacy. We then explored the riluzole treatment in TDP-43 transgenic rats trying to uncover the pathological mechanisms of neuron loss in ALS.
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We conducted a longitudinal study with a randomized control group design over a period of 14 days with 120 participants to investigate whether 3 different app-based interventions (cognitive-behavioural, meditation, informational) can enhance the general well-being (stress, engagement and satisfaction), ICT-specific well-being (technostress creators, digitalisation anxiety, IT resilience) and recovery (detachment) of participants compared to the control group with no intervention. All indicators were measured by using scales with several items in the initial questionnaire (prior to the intervention period) and end questionnaire (after the intervention period). Additionally, stress, satisfaction and detachment were measured by single items in the app-interventions which took place every two days directly after the interventions. The meditation intervention significantly increased general well-being (satisfaction, measured in the app) and recovery (detachment, measured in the questionnaires) compared to the control group but did not improve general stress and ICT-related stress. The cognitive-behavioural intervention significantly increased general well-being (less stress, measured in the app). Contrary to our hypotheses, the informational intervention even increased the general stress level (measured in the questionnaire). None of the interventions changed the level of ICT-related stress.
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The Excel File and Mat File contain the raw and transformed data that we used in our paper 'Financial Wealth, Investment and Sentiment in a Bayesian DSGE Model'.
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Data and code files for manuscript submitted to the Journal of Theoretical Biology.
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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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The dataset was constructed to examine Vietnamese student’s learning habit during the school suspension time due to the novel coronavirus - SARS-CoV-2 (Covid-19), responds to the call of open research to prevent potential effects of coronavirus (Elsevier, 2020). The questionnaires were spread over a network of educational communities on Facebook from 7th to 28th of February 2020. Using the snowball sampling method, researchers delivered the survey to teachers and parents to confirm the consent form before they forward it to their students and children. In order to measure the influence of student’s socioeconomic status and occupational aspirations over their learning habit during school closure, the survey includes three major groups of questions: (1) Individual demographic, includes family socioeconomic status, school types, and occupational aspirations; (2) Student’s learning habits, include hours of learning before and during school suspension time, with and without other people’s support; and (3) Student’s perception on self-learning during the disease. There was a total of 920 clicks on the survey link, but only 460 responses with consent form were received. The incurable answers (e.g., year of birth is before 2009, more than 20 hours of learning per day, etc.) have been eliminated. Finally, the dataset includes 420 valid observations.
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