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  • Microcracks accumulate around the inner ear. These data represent intersections of microcracks in the human otic capsule with unbiased stereological line grids. The allow the calculation of the surface density (mm2/mm3) of microcracks.
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  • A virus is a small infectious agent that replicates only inside the living cells of an organism. Viruses can infect all types of life forms, from animals and plants to microorganisms, including bacteria and archaea. In evolution, viruses are an important means of horizontal gene transfer, which increases genetic diversity in a way analogous to sexual reproduction. Influenza (Including (COVID-19), is an infectious disease caused by an influenza virus. Some viruses especially smallpox, throughout history, has killed between 300-500 million people in its 12,000-year existence. As modern humans increased in numbers, new infectious diseases emerged, including SARS-CoV-2. We have two groups of virus, RNA and DNA viruses. The most brutal viruses are RNA ones like COVID-19 (Sars-CoV-2
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  • Dataset for modeling risky driver behaviors based on accelerometer (X,Y,Z axis in meters per second squared (m/s2)) and gyroscope (X,Y, Z axis in degrees per second (°/s) ) data. Sampling Rate: Average 2 samples (rows) per second Cars: Ford Fiesta 1.4, Ford Fiesta 1.25, Hyundai i20 Drivers: 3 different drivers with the ages of 27, 28 and 37 Driver Behaviors: Sudden Acceleration (Class Label: 1), Sudden Right Turn (Class Label: 2), Sudden Left Turn (Class Label: 3), Sudden Break (Class Label: 4) Best Window Size: 14 seconds Sensor: MPU6050 Device: Raspberry Pi 3 Model B Please See Summary Table for summary of the collected data.
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  • Eight figures and eighteen tables relevant to this study.
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  • How precise is quantitative prediction of drug-drug interactions and genotype from in vitro data: A comprehensive analysis on the example CYP2D6 and CYP2C19 substrates -Supplementary material
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  • Experimental data
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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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    • Software/Code
    • Tabular Data
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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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    • Software/Code
    • Geospatial Data
    • Image
    • Sequencing Data
    • Tabular Data
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    • Document
    • Text
    • File Set
    • Audio
  • 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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    • Tabular Data
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    • Text
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