Dataset for assessing the scope and nature of global stream daylighting practices

• Published in: Data in brief 2020-12, Vol.33, p.106366-106366, Article 106366
• Main Authors: Khirfan, Luna, Mohtat, Niloofar, Peck, Megan, Chan, Andrew, Ma, Lucas
• Format: Article
• Language: English
• Subjects: Climate change; Content analysis; Data; Deculverting; Nature-based solutions; Stream daylighting; Systematic literature review
• ISSN: 2352-3409; 2352-3409
• DOI: 10.1016/j.dib.2020.106366

This paper presents five publicly available datasets (I through V) of which two are interactive and visual tools (a Tableau Dashboard and an Interactive Map). These five datasets were extracted from 115 literature sources on the daylighting of streams that were published between 1992 and 2018. Dataset I consist of 19 variables that combine two types of data extracted from these sources: ten manifest variables (indisputable, obvious, factual) and nine variables extracted from the sources’ latent content (indirect, hence, based on careful reading of the sources’ contents). Manifest variables include, among others, authors’ names and affiliations, authorship location, and publication year. Latent variables include primarily the literature sources’ underlying themes and their sub-themes (sub-categories), the daylighting case studies/projects discussed, and the geographic coverage or scope addressed in the literature sources. Datasets II identifies 16 literature sources that delve into the climate change adaptation and/or mitigation theme and reveal how it was tackled vis-à-vis the other themes/sub-themes. Dataset III identifies and provides detailed information on the 145 different stream daylighting case studies/projects mentioned in the literature's sources, such as each project's location, daylighted length, completion date, cost, and type of treatment. Dataset IV is a Tableau Dashboard that offers interactive analytical querying in the form of relational analyses and data visualization while Dataset V is an Interactive Map created in Google My Map that maps the 145 stream daylighting case studies/projects mentioned in the literature sources over and provides a synopsis on each based on the literature's contents. The combination of these five datasets and their diversity in type and presentation yields a comprehensive, global, and unique repository of information on the daylighting of urban streams for all types of audiences (academic, professional, and laypeople).