This dataset is extracted from the international Genetically Engineered Machine (iGEM) competition between years 2008 and 2018, and can be used as a model system for studying team science and innovation. It is described at length in this article. The dataset encompass detailed records from the iGEM competition, capturing various aspects of team participation and achievements. Specifically, the Team Information dataset (teams_table.csv) provides insights into team characteristics and achievements, including medal status and region of origin. User Information (users_table.csv) offers a look into individual participants, detailing their roles in the team. Awards Information (awards_table.csv) and Medal Criteria (medals_criteria.csv) lay out the awards teams have garnered and the standards for medal attainment. The BioBricks Information (biobricks_table.csv) corresponds to the BioBrick sequences associated with each team, while Wiki Edits (wikis_table.csv) tracks the changes made by users on their team's (wiki) lab notebook. Finally, the Collaboration Network (collaboration_network.csv) corresponds to the weighted directed inter-team collaboration network collected using team mentions across team wikis. In addition to the structured dataframes above, we provide in team_wikis_full_text.zip the full texts of the wiki pages from the digital laboratory notebooks collaboratively edited by iGEM teams in the forms of wiki instances. There is a folder for each year from 2008-2018 and within which there are individual folders for each team. Each team folder has a file denoting the pagelist and two files for each page. One file is the html content, and the other the text content, extracted using the "KeepEverythingExtractor" option in the boilerpipe.extract library for processing and removing boilerplate content after webscraping.