AusTraits, a curated plant trait database for the Australian flora
- Authors: Falster, Daniel , Gallagher, Rachael , Wenk, Elizabeth , Wright, Ian , Cheal, David
- Date: 2021
- Type: Text , Journal article , Data article
- Relation: Scientific Data Vol. 8, no. 1 (2021), p.
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- Description: We introduce the AusTraits database - a compilation of values of plant traits for taxa in the Australian flora (hereafter AusTraits). AusTraits synthesises data on 448 traits across 28,640 taxa from field campaigns, published literature, taxonomic monographs, and individual taxon descriptions. Traits vary in scope from physiological measures of performance (e.g. photosynthetic gas exchange, water-use efficiency) to morphological attributes (e.g. leaf area, seed mass, plant height) which link to aspects of ecological variation. AusTraits contains curated and harmonised individual- and species-level measurements coupled to, where available, contextual information on site properties and experimental conditions. This article provides information on version 3.0.2 of AusTraits which contains data for 997,808 trait-by-taxon combinations. We envision AusTraits as an ongoing collaborative initiative for easily archiving and sharing trait data, which also provides a template for other national or regional initiatives globally to fill persistent gaps in trait knowledge. © 2021, The Author(s). **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “David Cheal" is provided in this record**
Survey data regarding perceived air quality in Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa, United States before and during Covid-19 restrictions
- Authors: Barbieri, Diego , Lou, Baowen , Passavanti, Marco , Hui, Cang , Lessa, Daniela , Maharaj, Brij , Banerjee, Arunabha , Wang, Fusong , Chang, Kevin , Naik, Bhaven , Yu, Lei , Liu, Zhuangzhuang , Sikka, Gaurav , Tucker, Andrew , Mirhosseini, Ali , Naseri, Sahra , Qiao, Yaning , Gupta, Akshay , Abbas, Montasir , Fang, Kevin , Ghasemi, Navid , Peprah, Prince , Goswami, Shubham , Hessami, Amir , Agarwal, Nithin , Lam, Louisa , Adomako, Solomon
- Date: 2020
- Type: Text , Journal article , Data article
- Relation: Data in Brief Vol. 32, (2020)
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- Description: The dataset deals with the air quality perceived by citizens before and during the enforcement of COVID-19 restrictions in ten countries around the world: Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa and the United States. An online survey conveniently translated into Chinese, English, Italian, Norwegian, Persian, Portuguese collected information regarding the perceived quality of air pollution according to a Likert scale. The questionnaire was distributed between 11-05-2020 and 31-05-2020 and 9 394 respondents took part. Both the survey and the dataset (stored in a Microsoft Excel Worksheet) are available in a public repository. The collected data offer the people's subjective perspectives related to the objective improvement in air quality occurred during the COVID-19 restrictions. Furthermore, the dataset can be used for research studies involving the reduction in air pollution as experienced, to a different extent, by populations of all the ten countries. © 2020 The Author(s)