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The data is for "Can digital finance mitigate income inequality? —Empirical evidence from China".
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This dataset contains 6000 black tea fermentation images captured in a tea factory in Kenya. The databases should be used only for comparing algorithms, which can be considered as 'fair use' of the images and our metadata. You should not redistribute the images. You should reference the contributors whenever you use this dataset
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This data is the result of the robust scheduling of a multi-chiller system with a storage unit for two case studies.
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Data used in the manuscript (JGR-2019JD032058) submitted to and accepted by JGR-Atmospheres with a title of "Potential Effect of Halogens on Atmospheric Oxidation and Air Quality in China".
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  • File Set
A complete data set for the publication labeled as: An Efficient Dopamine Sensor Based on a Hierarchical Porous Graphene-Iron Carbide Hybrid
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  • Dataset
  • File Set
This is the raw data file for the paper recently published in JMR. The title of the paper is: High-Resolution Proton-Detected MAS Experiments on Self-Assembled Diphenylalanine Nanotubes Enabled by Fast MAS and High Magnetic Field
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We present a comprehensive dataset for Urdu text detection and recognition in natural scene images. To develop the dataset, more than 2500 natural scene images were captured with a digital camera and a built-in mobile phone camera. Three separate datasets for isolated Urdu character images, cropped word images and end-to-end text spotting are developed. The isolated Urdu character image dataset contains 19901 images, while the cropped word image dataset contains 14100 cropped words. A lexicon of more than 40K commonly used Urdu words is also created. The ground truths for each of the image in the isolated character, cropped word or text spotting datasets are provided separately. The proposed datasets can be used to perform Urdu text detection, recognition or end-to-end recognition in natural scenes. These datasets can also be helpful to develop Arabic and Persian natural scene text detection and recognition systems, as Urdu is a derived language of these scripts and has many similar letters. The datasets can also be helpful to develop multi-language translation systems.
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  • Dataset
  • Text
  • File Set
This dataset is the complete directory of all Trygve's web pages. The web page HTML code is found from its URL. For example, the HTML for http://folk.uio.no/trygver/themes/Personal/pp-index.html is in the file at themes/Personal/pp-index.html The University of Oslo is terminating its Web service after 25 years of operation. My gigabyte of web pages have been collected over the years and will no longer be accessible over the Net. The pages are stored in this dataset and it may be possible to transfer them to another service if required. It should in any case be possible to read the dataset with an HTML reader.
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  • Slides
  • Software/Code
  • Image
  • Video
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We examined the role of employee justice perceptions in explaining the distinct effects of two forms of pay transparency– process versus outcome pay transparency– on counterproductive workplace behavior (CWB). Study 1, a field study of 321 employees, revealed that process pay transparency is inversely related to CWB-O, with this effect mediated by greater procedural justice perceptions. In contrast, among employees perceiving their pay position as being lower than that of referent others, outcome pay transparency is positively associated with both CWB-O and CWB-I, with this effect mediated by reduced distributive justice perceptions. Study 2, using an online simulation-based experiment conducted on 394 employees and assessing actual deception behaviors, replicated and extended these findings. Specifically, when pay allocations were transparent (vs. secretive) and participant's pay was manipulated to be lower than that of teammates, participants reported lower distributive justice perceptions leading to heightened deception behaviors, with this effect mediated by a more negative emotional state. Analyses were done using MPlus 8.4. Files (.dat , and .inp , files are attached) for both CFA (Study 1) and path analyses (Studies 1 and 2). *-alt* files were used for testing alternative models reported in the papaer. R file and .csv file (Study 1) were used to compute alpha and omega values for ordinal indicators. Finally, *-omega* files (Study 2) were used to compute omegas in Study 2.
Data Types:
  • Software/Code
  • Geospatial Data
  • Tabular Data
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  • Document
The recently published set of programs H_FUN for calculation of the Chandrasekhar function [Comput. Phys. Commun. 235 (2019) 489-501] is replaced with a new set H_FUN_v2 which has the following improvements: (i) increased accuracy from 14 decimals to 15–16 decimals, (ii) the upper limit of albedo values increased from to w = 0.85 to w = 1, (iii) a reasonably short execution time, and (iv) brevity and simplicity of the code. The previously edited program HFUNELE dedicated to applications in electron transport theory is replaced with a short universal program HFUNIV that allows to reach the desired accuracy for small values of arguments, for albedo values close to unity, and also for conservative scattering. This program turns out to be very compact with listing close to one page (96 Fortran lines). Additionally, a new test program is added that illustrates the procedure for determination of accuracy by comparison with the enclosed extensive database containing the Chandrasekhar function reference values determined with accuracy of 21 decimals.
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