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  • Detailed histologic findings in 17 cases of Chilblain-like Lesions
    Data Types:
    • Dataset
    • Document
  • This dataset supplements the Material and Methods section of the paper "The Leishmania donovani species complex: a new insight into taxonomy". It includes the codes and data used to perform the SH test on PAUP* v 4.0a165, as well as the codes, raw data and matrices used to perform the Mantel test on the package ade4 of R software.
    Data Types:
    • Sequencing Data
    • Dataset
    • Document
    • Text
  • Uncropped versions of western blots; All peptides ≤ 3 kD identified in immunoprecipitates pulled from human plasmas by a Spermidine/Spermine antibody ; All peptides ≤ 3 kD identified in mouse sera.
    Data Types:
    • Tabular Data
    • Dataset
    • Document
  • For the full database, please visit: www.projectipad.org The 2011 accident at Japan’s Fukushima Daiichi Nuclear Power Plant released a considerable inventory of radioactive material into the local and global environments. While the vast majority of this contamination was in the form of gaseous and aerosol species, of which a large component was distributed out over the neighbouring Pacific Ocean (where is was subsequently deposited), a substantial portion of the radioactive release was in particulate form and was deposited across Fukushima Prefecture. To provide an underpinning understanding of the dynamics of this catastrophic accident, alongside assisting in the off-site remediation and eventual reactor decommissioning activities, the ‘International Particle Analysis Database’, or ‘IPAD’, was established to serve as an interactive repository for the continually expanding analysis dataset of the sub-mm ejecta particulate. In addition to a fully interrogatable database of analysis results for registered users (exploiting multiple search methods), the database also comprises an open-access front-end for members of the public to engage with the multi-national analysis activities by exploring a streamlined version of the data.
    Data Types:
    • Other
    • Software/Code
    • Image
    • Tabular Data
    • Dataset
    • Document
    • Text
  • This dataset contains a series of MATLAB codes in which the friction coefficient of pure phyllosilicate gouges is predicted as a function of porosity and grain size, relative humidity, normal stress and slip velocity. The codes are based on a microphysical model for phyllosilicate friction that assumes that shearing is controlled by sliding along (001) grain/platelet interfaces operating in series with removal of overlapping grain edge barriers by basal cleavage. Please see our publication in Journal of Geophysical Research - Solid Earth for details.
    Data Types:
    • Software/Code
    • Dataset
  • Data and files used in our study,
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • Document
  • This study is to analyse the complementary and alternative treatments for the prevention of COVID-19/Coronavirus in the Turkish news.The sample of this descriptive study consisted of 160 news articles published between 11 March – 11 April 2020 on the websites of three highest-circulating newspapers throughout the nation. Quantitative media context analysis method, a form consisting of 14 questions and 2 sections were employed to evaluate news on newspapers. The data was analysed by using SPSS 21.0 statistical package programme using numbers and percentages.
    Data Types:
    • Dataset
    • Document
  • The data of Aadac-Tg mice
    Data Types:
    • Dataset
    • Document
  • In an online survey with n = 130 participants potential factors influencing initial trust in AI were asked. These are (1) digital affinity of the respondent, (2) expert status in production management of the respondent, (3) perceived capabilities of the AI, (4) perceived explainablitiy of the AI, (5) predictability of the decision situation and (6) costs of a wrong decision in the present decision situation. The factors (1) and (2) were measured as between subjects, whereas the factors (3) - (6) are within subject factors.
    Data Types:
    • Tabular Data
    • Dataset
    • Document
  • This dataset contains data drawn from Thomson Reuters Datastream for the Turkish Lira against the currencies of its major trade partners: Germany, Russia, China, Italy, and UK. The time series cover the period from March 1996 to October 2019. Associated with the dataset is the R code used for running the wavelet coherence of the exchange rate pairs and plotting the Time-Frequency domain plots.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
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