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Study aim: To study Gamma-enhancing neurofeedback learning process and evaluate its efficacy on visual feature binding and fluid intelligence Sample size: 18 healthy female students (mean age: 24.24 ± 1.94 years) Dataset: ----------- 1- Demographics: 18 subjects, Age, BMI, Weight, Height, Handedness, GPA 2- IQ measure: 18 subjects, Pretest and posttest sessions 3- Visual feature binding measure: 18 subjects, Pretest and posttest sessions, Response time and Error rate 4- 4 activity baseline EEG: 18 subjects, Pretest and posttest sessions, Tasks: Eyes open, Eyes closed, Auditory sensory attentiveness, Cognitive effort 5- Neurofeedback training EEG: 8 subjects, 8 training sessions, Eyes closed baseline EEG recorded before and after training in each session, EEG recorded during training in each session
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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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Distinguishing between bull Y- and X-bearing sperm populations is advantageous for techniques with sexed bull semen. The aim of this study was to produce a single-chain fragment variable (scFv) antibody against plasma membrane epitopes on bull Y-bearing sperm to distinguish between Y- and X- sperm. Variable heavy (VH) and variable light (VL) region genes generated from a hybridoma cell secreting a specific Y-bearing sperm monoclonal antibody (mAb-1F9) were cloned and expressed. The expected sizes of the DNA bands were ~350 bp for the VH gene and ~318 bp for the VL gene. The VH and VL genes were generated and used to construct an scFv gene (~650 bp) and express the corresponding soluble scFv antibody. Compared with the parent mAb-1F9, the scFv antibodies presented a high affinity for Y-bearing sperm and low cross-reactivity with X-bearing sperm. An immunofluorescence analysis confirmed that the scFv antibodies and mAb-1F9 recognize epitopes on the Y-bearing sperm surface. The fluorescence signal was strong on the plasma membrane of Y-bearing sperm but very weak for X-bearing sperm. This study helps the application and production of engineered scFv antibodies specific to Y-bearing sperm to distinguish between Y- and X-bearing sperm populations for techniques involving sexed bull semen
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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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