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Time-use data can often be perceived as inaccessible by non-specialists due to their unique format. This article introduces the ATUS-X diary visualization tool that aims to address the accessibility issue and expand the user base of time-use data by providing users with opportunity to quickly visualize their own subsamples of the American Time Use Survey Data Extractor (ATUS-X). Complementing the ATUS-X, the online tool provides an easy point-and-click interface, making data exploration readily accessible in a visual form. The tool can benefit a wider academic audience, policy-makers, non-academic researchers, and journalists by removing accessibility barriers to time use diaries.

Data Availability: Data from IPUMS Time Use are available free of charge to all registered researchers. The IPUMS Time Use system is intended for researchers to be able to select the years of data they want to analyze, the types of time use they want to analyze, and the demographic characteristics by which they want to conduct their analyses. A key feature of the system is the ability to build custom time use variables that summarize the amount of time each ATUS respondent spends in researcher-specified combinations of activities, locations, time of day, and co-presence of others. A brief tutorial on how to use the system is available online ( =6nGUBfdhOpo&t=67s). There is no need for researchers to download the multiple original files in which these data are stored and to merge them together. The IPUMS Time Use team has performed the necessary data management steps so that researchers can spend more time analyzing their data and less time performing cumbersome and error-prone data manipulations.

IPUMS Time Use simplifies access to the rich, complex data in the ATUS and associated modules by eliminating the need to merge the data with the main ATUS files. IPUMS Time Use harmonizes the data for consistency over time, documents changes across time, and delivers the data and documentation via a single online data dissemination system (www.ipums.org/timeuse). Although the coding of ATUS variables is relatively consistent over time, there have been changes in both the categorization of the over 400 daily activities and ATUS survey questions. IPUMS Time Use assigns consistent variable names and codes to variables that change across time and provides detailed metadata displaying original question wording used in each annual data collection. Variable-specific harmonization documentation describes issues of comparability across years of the ATUS. Key features of the system include the ability for researchers to build custom time use variables that summarize time spent in various activities and with others, select only the years and variables they wish to analyze and receive the data in a ready-to-use format.

The data visualization tool employs the IPUMS ATUS-X Time Use data based on the samples that users have requested from the IPUMS system. Step-by-step instruction videos are available in this online link ( ).

The codes for the online tool can be made available to researchers and developers from a private GitHub repository upon reasonable request, but restrictions apply to the availability of these codes, which were used under different licenses (please check the license details for the JavaScript code snippets in the repository. The PHP code in the back-end controller is the intellectual property of the lead author).

Plotdigitizer is an online data extraction tool that allows users to extract data from images in numerical format. In short, it reverse-engineers your visual graphs into numbers. The software comes with plenty of useful and time-saving features.

Online PlotDigitizer's app is a free tool available for online use only. The tool is free and allows users to extract data from various graphs though it comes with limited features. For full access to additional features, like auto-tracing, dataset storage, you have to purchase a pro license

2. After that press Enter key, and select the cell B2, drag the fill handle down over to the range up to where you want to apply this formula, all the unique domain names will get extracted from each URL.

 Use the above mentioned excel domain name extractor function if you want to do it later on your computer in offline mode.

Our image text extractor can easily extract text from blurry and low-resolution images. Images of books, self-written works, and screenshots are dim and cannot be comprehended easily. Yet this tool can get data from such images with high accuracy.

In 2016, our journey to create the ultimate online AI vocal remover and karaoke generator kicked off. With significant investmentsin high-performance GPUs and machine learning techniques, PhonicMind has continuously refined its algorithms.

FBy 2017, we had unveiled the industry's first AI-based online vocal and voice remover.But we didn't stop there. Focused on becoming the industry standard, we've leveraged user-generated karaoke,acapella, and instrumental tracks to train our AI for even higher performance.

By using this extractor you can easily isolate vocals from any song (wav or mp3) with mixed instrumentals and vocals. This service is free up to 2 songs per day. This service uses artificial intelligence and is based on the open source library spleeter.

Simple online tool useful to extract IP addresses online. This tool extracts all IPv4 addresses found on the submitted text and shows only unique and valid IPv4 addresses. Extract IP addresses from a text. We have developed also IP Extractor, a Windows OS software to extact IP addresses from files.

Web Email Extractor has unique feature of updating search engines online free, which enables the Web Email Extractor to gives you best possible result. Web Email Extractor also supports filter, which gives you a list of emails only those you required not all available on the internet. Web Email Extractor has the feature for restrict the URLs those you don't want to scan or allows only URLs those you want to scan.Extracted email addresses can be saved in .CSV (Opens in EXCEL) and .TXT (Notepad) file.

2. Please provide additional details regarding participant consent. In the ethics statement in the Methods and online submission information, please ensure that you have specified (1) whether consent was informed and (2) what type you obtained (for instance, written or verbal, and if verbal, how it was documented and witnessed). If your study included minors, state whether you obtained consent from parents or guardians. If the need for consent was waived by the ethics committee, please include this information.

4. We note that Figure 1 in your submission contain map images which may be copyrighted. All PLOS content is published under the Creative Commons Attribution License (CC BY 4.0), which means that the manuscript, images, and Supporting Information files will be freely available online, and any third party is permitted to access, download, copy, distribute, and use these materials in any way, even commercially, with proper attribution. For these reasons, we cannot publish previously copyrighted maps or satellite images created using proprietary data, such as Google software (Google Maps, Street View, and Earth). For more information, see our copyright guidelines: -and-copyright.

RESPONSE: Following the suggestion, we added an extended discussion of the ATUS extractor together with its methodologies and specific modules as suggested. The ATUS extractor tool is, in fact, a vital part of this project. We added as much information as possible following the suggestions. For example, more explanation on the connections of ATUS with CPS data is added on lines 84-91. The explanation on modules is added on lines 100-128. Specific methodological points are discussed in 129-155. e24fc04721

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