Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
The IDEA Challenge 2022 prototyping dataset comprises a total of 240 prototype entries with 1049 edges (connections) and can provide valuable insights into prototyping practices, offering practical knowledge essential for developing prototyping strategies and generating hypotheses for future studies. Data were collected using Pro2booth - an online platform which captured comprehensive information about prototypes and participating teams' development process, including details about the creators, purpose, timing, and methods of creation. It is particularly relevant to design researchers, engineering and design students, educators, and industry professionals seeking to enhance their prototyping skills and strategies. It serves as a robust foundation for subsequent studies, allowing for comparative analyses, hypothesis verification, and trend exploration. It also has the potential to inform meta-analyses across similar design scenarios, providing a comprehensive understanding of prototyping processes.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10999789 | PMC |
http://dx.doi.org/10.1016/j.dib.2024.110363 | DOI Listing |
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