Financial overview and grant giving statistics of Icons

As of February 2022, the predominant color used in app icons across all examined categories was white, with icons of the leading shopping apps using white for almost ** percent of their design. Each of the analyzed categories appeared to have a predominant color: black was the most popular color for gaming apps' icons, red was the most used color for food and drink apps' icons, and finance apps appeared to prefer dark blue for their icons.

Thecoo Inc. counted about ***** Fanicon icons in the fourth quarter of fiscal year 2024. Fanicon is a paid membership fan community service and the word "icon" refers to owners of fan communities, such as artists, influencers, and entertainers. Thecoo also offers various advertising and marketing related services, such as support services for influencers.

With the sanitary crisis provoked by the outbreak of the COVID-19 virus, the public spaces dedicated to the practice of sports had to close to fight against the propagation of the virus. Many French people have invested to maintain their shape and fight against a sedentary lifestyle. At the end of containment, the French subsidiary of ICON Health & Fitness indeed recorded an increase in orders of *** percent for the bicycle category. In fact, the market share of this category had increased by **** points compared to 2019.

This is a look up file for statistical qualifiers used across all datasets to define blank data cells, such suppressed or missing values. This reference file has been created in accordance with the guidelines of the Office for National Statistics (ONS). Additional Qualifiers have been added to suit the purpose of data across this open data website.

Financial overview and grant giving statistics of Icon Health & Fitness Foundation

During a 2020 survey carried out in ** European countries, ** percent of respondents from Italy said that the AdChoices icon made the brand "much more trustworthy" or "somewhat more trustworthy" in their eyes; the same was true for ** percent of respondents from Great Britain.

The data set contains (1) model data, (2) the corresponding model grid, and (3) the result of a statistical analysis. The model data consist of mean values of an ensemble of 80 members in total. Of these, 40 simulations belong to the reference experiment and 40 simulations belong to the snow-darkening experiment. Variables with the addition "diff" show the mean difference between the simulations of the two experiments. The statistical data is the result of the Wilcoxon signed-rank test at t176.

Comprehensive statistics and key metrics for ICON Public Limited Company (ICLR) including valuation ratios, profitability metrics, and financial data.

During a 2019 survey fielded in Chile, the Christmas dinner was found to be the most representative symbol of Christmas in the South American country, followed by the Christmas tree and Santa Claus.

Financial overview and grant giving statistics of Advertising Icon Museum Inc.

With the sanitary crisis provoked by the outbreak of the ******** virus, the public spaces dedicated to the practice of sports had to close to fight against the propagation of the virus. Many French people have invested to maintain their shape and fight against a sedentary lifestyle. Some had chosen to equip their home with home fitness equipment. The progression initiated during the containment does not seem to have stopped since. Indeed, at the end of the containment, the French subsidiary of ICON Health & Fitness recorded an increase in orders of *** percent for the bicycle category, which continued to record the highest growth rate since the containment.

Financial overview and grant giving statistics of Icon Womens Organization

Financial overview and grant giving statistics of Icon Collective Inc

Financial overview and grant giving statistics of Icon Science Fiction Incorporated

Financial overview and grant giving statistics of Icon Foundation Inc.

Technical specifications for Mighty Symbols: Crowns from Wazdan

The objective of this study is to evaluate users’ perceptions and preferences on the design features of the COVID-19 prevention promotion icon from the perspective of users’ aesthetic and perceptual needs. In this study, 120 officially published icons from 24 countries and regions were collected from online platforms for ranking tests, and then the top-ranked icons were subjectively rated by the semantic differential method. By evaluating the quality of users’ perceptions of multiple semantic dimensions of icons, we extracted the perceptual semantic words that users valued as the main icon design features. Spearmen correlations were applied to derive possible correlations between user rankings and semantic scales, and a Friedman test was also conducted to determine the true differences in user perceptions and preferences for different styles of icons. Factor analysis was conducted to extract six perceptual words that influence the design features of the COVID-19 prevention promotion icon. The methodology adopted in this study facilitated the screening of design features related to icon effectiveness, and the findings show that “Interesting,” “Simple,” “Familiar, “Recognizable,” “Concrete,” and “Close(semantic distance)” are the key features that influence users’ perception and preference of COVID-19 icon design. The results of this study can be used as the basis for designing and improving publicity icons for preventive measures in COVID-19, and the methods adopted in this study can be applied to evaluate other types of icon design.

Aggregated gameplay data collected by Playgroup about Solaflora, Intergalactic Icon. Updated daily.

The data relates to the analysis of "Impact of grid spacing, convective parameterization and cloud microphysics in ICON simulations of a warm conveyor belt" and is in support and reference to the work titled as the same for a research article authored by Choudhary and Voigt. The file 'data.zip' contains different directories named as per the computations related to particular analysis as mentioned below:

Directory names and content inside 'data.zip'
Name of directory	Content
trajectories	Output from run of LAGRANTO tool on regridded ICON simulations* (the input data is not provided here). The output contains computations of 'warm conveyor belt (WCB)' trajectories and different variables traced along them which are stored in different files named as outtrace1.nc and so on. The subdirectories are named as per the resolution, convection and cloud microphysics parametrization used in model setup, for e.g. '0.025convon/1m' corresponds to 2.5 km resolution with parametrized convection and 1-moment cloud microphysics. The file with name ending with 'box' corresponds to different subclasses of trajectory as described in the work.
dhr	diabatic heating rate, traced along WCB and binned in pressure levels (for 1-moment cloud microphysics)
dynamical variables	av- absolute vorticity, pv- potential vorticity and w- vertical wind traced along WCB and binned in pressure levels (for 1-moment cloud microphysics)
statistics	statistics (different statistical computation of WCB parcels ascent for 1- and 2- moment cloud microphysics, details described in work)
theta_e	equivalent potential temperature for 2.5 km explicit convection simulation (.pkl file) for 2016.09.22 12UTC, 2016.09.23 12UTC and 2016.09.24 12UTC in files numbered 1, 2 and 3 respectively.
ipv	same as above but for isentropic potential vorticity
mslp	mslp.nc- same as above but for mean sea level pressure field
cyclone_track	File name with convention 'nawdexnwp-5km-mis-0001_vladiana_cyclonepressure.nc' corresponds to file containing central mean sea level pressure of cyclone Vladiana during the simulation period for 5 km resolution with parametrized convection and 1-moment cloud microphysics. coord_1m.npy- the coordinate/ location of cyclone Vladiana based on central mean sea level pressure
pte	Pressure tendency equation (PTE) analysis. Subdirectories are named after different resolutions of simulation with 1-moment cloud microphysics and parametrized convection (except for 10, 5 and 2.5 km where convection is explicit). Further, the .npy files are named as per the different vertically integrated tendency terms of PTE equation they represent, as mentioned below: dp_dt: surface pressure dfi_dt: geopotential (upper boundary of integral) i_diab_res: diabatic heating (including residual) i_itt: virtual temperature i_tadv: temperature advection i_vmt: vertical motions

*Note: The original ICON simulations which are not part of this dataset were carried out by Prof. Aiko Voigt (University of Vienna) at the Mistral High Performance Computing system of the German Climate Computing Center (DKRZ) in Hamburg, Germany. The primary data of the ICON simulations (run scripts, namelists, scripts for lateral boundary data) are published at KITopen of Karlsruhe Institute of Technology, https://doi.org/10.5445/IR/1000123695. Note that the KITopen dataset includes all simulations of \cite{svchd20}, from which a subset is analyzed here.

The file 'scripts.zip' contains two directories which is related with analysis presented in the work:

'plotting_scripts' includes script for creating different plots/ figures showcased in the work

'processing_scripts' includes computations for producing different quantities/ data that are named as described above in the table for 'data.zip'