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Raw data for 2-choice food preference assays, FLIC assays, immunofluorescence staining, pharyngeal calcium imaging, and optogenetics.
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Large surveys of peptides naturally presented on major histocompatibility class I (MHC I) proteins have enabled improved MHC I ligand prediction by dramatically expanding the available data for many MHC I alleles. However, it is unclear to what extent antigen processing signals can also be learned from these datasets. Here, we developed a predictor of antigen processing by training neural networks to discriminate mass spec-identified MHC I ligands from unobserved peptides, where both classes of peptides are predicted to be strong MHC I binders. The resulting predictor shows qualitative consistency with established preferences for the transporter associated with antigen processing, proteasomal cleavage, and endoplasmic reticulum aminopeptidases. When we combined the antigen processing predictor with a novel pan-allele MHC I binding predictor in a logistic regression model, the combination model significantly outperformed the two components alone as well as the NetMHCpan 4.0 and MixMHCpred 2.0.2 tools at predicting mass spec-identified MHC I ligands. Our predictors are implemented in the open source MHCflurry package, version 1.6.0 (github.com/openvax/mhcflurry).
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these data will be published in the "A phenomenological model for the spontaneous exchange bias effect" article
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In a scenario of expanding competition between tourist destinations, DMOs face the challenge of positioning them attractively. To this end, these organizations can make use of various communication marketing strategies, including social media, platforms whose effectiveness is measured through engagement. From these channels originate the digital influencers, which in recent years have gained greater academic and marketing prominence. Given this theoretical foundation, this research aimed to measure the degree of engagement in publications with digital influencers on Instagram of Brazilian DMOs, with time frame between December / 17 and December / 18. To achieve the necessary results for the proposed problem, the data mining technique was used in a sample of 11 Instagram profiles from Brazilian state DMOs, selected after a filtering process. The collected data were treated from a quantitative descriptive approach, having as parameter three main indicators, as follows: (1) total publications, (2) likes and (3) comments. All these indices were defined after consulting the engagement literature. In addition, a T Test was done between paired samples to verify if there was a significative difference on the means. In general, the results indicated that posts with digital influencers have better results, given the proposed time frame, especially when compared with the indexes of general posts. However, inferential statistics indicated that the differences between means were not relevant. In such a way, the strategy of endorsement by influencers does not seem to produce relevant effects on user interaction in the profiles of Brazilian DMOs.The innovative character of this research stems from the use of the data mining technique to deliver accurate results as to the effectiveness of a rising social media strategy, providing managers with a solid framework for analysis and fostering the field of discussion.
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This data contains four variables, childhood psychological maltreatment, immorality, empathy and cyberbullying perpetration attitudes
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In the current data article, we present detailed characteristics of voids in carbon/epoxy composite laminates as well as the original image stacks, obtained via X-ray micro-Computed Tomography (micro-CT) . Five different lay-ups are produced with altering the recommended cure cycle in order to intentionally induce voids in the material. For each lay-up, an image stack (consisting of tomographic slices) and a dataset are provided. The image slices are in 8-bit TIF format. The datasets (spreadsheets) include the volume, size parameters, shape parameters, orientation, and location of all the detected voids in the specimen. The segmentation of the images and quantification of voids are performed in VoxTex, an in-house software for processing of micro-CT results. The data is linked to a Data in Brief article "Mehdikhani et al., A dataset of voids’ characteristics in multidirectional carbon fiber/epoxy composite laminates, obtained using X-ray micro-computed tomography, DIB 27 (2019) 104686" and linked to the article "Mehdikhani et al. Detailed characterization of voids in multidirectional carbon fiber/epoxy composite laminates using X-ray micro-computed tomography. Comp Part A 125 (2019) 105532".
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The repository includes the dataset for the manuscript entitled A calibration framework for high-resolution hydrological models using a multiresolution and heterogeneous strategy submitted to WRR. Currently, we only deposit the data for plotting Fig4. Upon acceptance, we will store all the data in this repository.
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This data is tabulated raw data using the SPSS program from a questionnaire (from 338 respondents) measuring each variable (innovation mindset, knowledge management, organizational learning, organizational culture, organizational forgetting and competitive intelligence).
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The barred knifejaw, Oplegnathus fasciatus (Teleostei: Centrarchiformes Oplegnathidae), is an important species in marine cage culture and fish stocking for marine ranching in East Asia. The males of Oplegnathidae (O. fasciatus and O. punctatus) species are characterized by an X1X2Y system with a neo-Y chromosome based on male karyotype analyses. Release of the chromosome-level reference genome of female O. fasciatus has facilitated insights into the origin of the X1X2Y system of male O. fasciatus. In the present study, we applied PacBio long-read sequencing and high-throughput chromosome interaction mapping (Hi-C) to assemble a chromosome-level genome of male O. fasciatus. A highly contiguous genome with a size of 795 Mb, 2,295 contigs, and a contig N50 of 2.13 Mb was obtained. The 1,355 ordered contigs combined with the draft genome were further assembled into 23 chromosomes approximately 762 Mb in length with a contig and scaffold N50 length of 2.18 and 32.43 Mb, respectively. A large neo-chromosome (Ch9) of 94.2 Mb was assembled from 444 contigs, and found to be more than three times larger than the rest chromosomes in O. fasciatus genome. In addition, 63.1 Mb of the Ch9 sequences of male O. fasciatus had high identity (~99.0%) to the Ch8 and Ch10 sequences of female O. fasciatus based on a whole-genome synteny analysis, showing that the neo-Y chromosome shared significant homology with Ch8 and Ch10 based on male/female genome comparison. Significant fission tracks at the terminal point of the chromosomes were also identified between Ch9 and Ch8/Ch10 using synteny analyses, which showed chromosome rearrangements events had happened in the neo-chromosome Ch9. Our present results accurately demonstrated that the X1X2Y system of male O. fasciatus originated from the fusions of the non-homologous chromosomes Ch8 and Ch10. According to the synteny analyses and previous karyotypes results, which characterized acrocentric chromosomes, we suggested that a centric fusion of acrocentric chromosomes Ch8 and Ch10 was responsible for the formation of the X1X2Y system of male O. fasciatus.
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Normalised wound area showing migration of NIH3T3 cells upon exosome treatment. Migration rate showing enhanced migration of NIH3T3 cells upon exosome treatment. MTT assay of HaCaT cells on PUAO and PUAO-CPO scaffolds. MTT assay of NIH3T3 cells on PUAO and PUAO-CPO scaffolds. MTT assay of ADSCs cells on PUAO and PUAO-CPO scaffolds
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