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dataset including results of the Data in Brief "Data for functional MRI connectivity in transgender people with gender incongruence and cisgender individuals" supplementary data from the "Brain network interactions in transgender individuals with gender incongruence" manuscript submitted to Neuroimage journal Original T1- and T2*-weighted images can be found in: doi:10.17632/hjmfrv6vmg.1
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A double corrugated tube geometry for improved heat transfer performance inspired by vascular heat exchangers found in fish such as the tuna and the opah is presented. The geometry features a cross section that varies continuously in the flow direction while maintaining a constant hydraulic diameter, which gives enhanced heat transfer at a relatively low increase in pressure drop. Five ellipse-based tubes with varying corrugation severity and period that emulate blood vessels of fish were produced in an aluminium alloy using additive manufacturing technology. Thermal performance of the novel tube design was experimentally investigated in a counter flow tube-in-shell heat exchanger in a range of Reynold numbers from 1000 to 2500. Table 1 presents the geometrical parameters of the examined tubes. The double corrugated tubes varies in aspect ratio, AR and corrugation period, p, hydraulic diameter, Dh, is maintained constant at any point of the flow channel. However, the derived surface equations only approximates the surface of the double corrugated tubes. The inaccuracy, caused by imperfection of the equations as well as the limitations of CAD software and manufacturing process, is less than 4 %, thus all the examined tubes are considered to have constant Dh, Inner and outer surface area, As,i and As,o, respectively, length, l, and the wall thickness, δ, are given in Table 1. The geometry of the examined double corrugated tubes is fully described in Research paper. The data presented in Tables 2 - 8 present full data set obtained during the experimental study – inlet and outlet temperatures as well as mass flow rates for heat transfer and pressure measurements and measured pressure drop. Surface roughness data are presented in Figure 1 as well as separately uploaded as a .tif file.
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This data repository contains code and data for research article, namely, “Decomposition ensemble model based on variational mode decomposition and long short-term memory for streamflow forecasting”, which will be (or have already been) published in the Journal of Hydrology. The streamflow data sets (daily streamflow series (01/01/1967-31/12/2014) of Yangxian station (yx), Han River and Zhangjiashan station (zjs), Jing River, China) used to build the proposed model are in the “time_series” directory. The fundamental code for decomposing streamflow data, deciding input predictors and output target, generating machine learning samples, building long short-term memory (LSTM) models and evaluating the model performance are organized in “tools” directory. The execution code for forecasting different streamflow series (zjs and yx) using different decomposition algorithms (e.g., variational mode decomposition (VMD), ensemble empirical mode decomposition (EEMD), discrete wavelet transform (DWT) or non-decomposition-based (orig)) are organized in “projects” directory (e.g., “zjs_vmd/projects/”). To reproduce the results of this paper, follow the instructions given in “readme.md”. Note that the same results demonstrated in this paper cannot be reproduced but similar results should be reproduced.
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-The co-immunostaining of NUP98 and H3K27me3 in CD34+ cells treated with DMSO and EPZ6438 (0.5μM). H3K27me3 is stained with Alexa 594 secondary antibody. After EPZ6438 (0.5μM), we can see a significant reduction in the H3K27me3 levels. -FISH imaging of canyon loci in CD34+ cells
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Spiritual leadership data set in higher education
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Gesture recognition technology is rapidly growing in the recent years due to the demands of many application such as computer game and sport, human robot interaction, assistant systems, sign language interpretation and e-commerce. One of the most important of gesture recognition is hand-gesture recognition. For example, it can be used to control all devices (television, radio, air-condition, and doors) by just hand gestures for smart home application. The HGM-4 dataset is built for hand gesture recognition (the full dataset is available from: http://dx.doi.org/10.17632/jzy8zngkbg.2) which contains total 4,160 colour images (1280 × 700 pixels) of 26 hand gestures captured by four cameras at different position. The training and testing set are defined to create a benchmark framework for comparing the experimental results.
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Files for Hardware design for build a Step Width System Capture
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Dataset aims for the simulation of the time evolution of binary adsorption system with the optical read out. It contains the code for generating three sequences and store them in Microsoft Excel file along with compressed results obtained by that code. The code is written for the MathWorks MATLAB or Octave environment. The first generated sequence is time, the second sequence is the number of adsorbed particles of one species of the binary mixture and the third sequence is the number of adsorbed particles of the other species of the binary mixture.
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Behavioral output from subjective ratings and memory response times during fMRI task. Output from a spatiotemporal and hippocampal-seed PLS analysis. Preprocessed fMRI contributing to the neuroimaging analysis.
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Open data for the manuscript "Ion beam synthesis and photoluminescence study of supersaturated fully-relaxed Ge-Sn alloys"
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