Environmental Science and Policy

Individual wellbeing data collected from two study villages in Tanzania to test the wellbeing indicator selection protocol (WISP)

R scripts for afforested land selection under the different scenarios, statistical analysis and the input data file.

Data are shared in csv-format and consist of 12 columns and 499 rows (with headings). The first line represents the respective index. The following columns describe the eight independent and three dependent variables of the regression models. “FOP_mean” is the mean index of the statements concerning feelings of powerlessness, “SAC_mean” is the mean index of the statements concerning willingness to sacrifice, “concern_mean” is the mean index of the statements regarding concern. “Knowledge” gives the accuracy scores without guessed answers for the ten climate statements that had to be answered. Gender is binary coded with female (0), male (1), not defined/no answer (NA). “age” is a metric variable, ranging from 18 to 72. “matura” is binary coded: without matura/high school degree (0), with matura/high school degree (1), not defined/no answer (NA). “partiesLR” represents left-wing (0) and right-wing (1) parties, not defined/no answer (NA). “conser_mean”, “social_mean” and “citizen_mean” represent mean indices for the behavior scales “conservation behavior”, “social climate protection” and “climate citizenship”. Data columns not relevant for this analysis were removed. Some variables have been recoded or were calculated from other variables. Further description of the data can be found in the method section of the paper. Data were collected in cooperation with the market research agency Norstat Deutschland GmbH.

The data resulted from two small scale projects which took place at two schools in Ethiopia – in Adama and Sendafa, cities in the Oromia region. Constructed wetland for treating handwashing wastewater was constructed in a school in Adama, as part of a school WaSH improvement project (also new school latrines were constructed, and existing ones were renovated). The developed games “Clean and Green School” and “Water Go!” were designed around this intervention: latrines, handwashing facilities and constructed wetlands. The idea behind the games was developing educational instruments that would promote water recycling, handwashing activity and water reuse for toilet flushing and irrigation; to school students and school staff in an engaging way. By doing so, games can be played over and over again, so the students can be trained together with teachers and school staff involved in the operation and maintenance of the system (school guards and cleaning staff). Instead of delivering one time trainings, the idea was to incorporate innovative educational instruments (games) in school WaSH clubs curriculum. For the purpose of the second project – educational games around the F-diagram were developed and tested in a school in Sendafa (game WaSH quartet) and at both schools in Sendafa and Adama (Fly Over game). The sample sizes for the last testing session at locations, as reported in the manuscript are: Clean and Green School (n=8, Adama); Water Go! (n=6, Adama); WaSH Quartet (n=10, Sendafa); Fly Over (n=14, Sendafa and Adama). Though the number of students and school staff participating in evaluation was small, we could use it to observe dynamics, identify bottle necks and draw meaningful conclusions. However we do hope to scale the approach and conduct testing on more schools and children, obtaining statistically relevant results.

Supplementary material containing additional data in the form of tables for the manuscript "Assessing land-based mitigation implications for biodiversity"

This is the CECA questionnaire. It has four sections: The introductory general-context section is designed to identify the city and the person/institution(s) who answer the questionnaire. This section also offers a set of open-ended questions to obtain an overview of the city’s air quality condition, as well as its AQM strengths and weaknesses. The other three sections of the questionnaire correspond to each of the three CECA components (technical capabilities, data capabilities and exploiting capabilities).

This research data presents the outline of the CECA Index analytical framework. It includes the specific scoring scales defined for every indicator to quantify the performance of the city at that particular AQM feature.

This database includes all literature that was reviewed by this paper.

Here is the data set that was analyzed during the project "National trends in the biodiversity concern within digital media" (qualitative analysis, quantitative analysis and PCA).

common characteristics of transformative adaptation in ecological, social, and social-ecological systems based on the review of 80 conceptual papers. The percent of references (% ref) refers to the percent of the 80 papers that mentioned this characteristic in their description of transformative adaptation.