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Träfflista för sökning "WFRF:(Coles H) srt2:(2020-2023)"

Sökning: WFRF:(Coles H) > (2020-2023)

  • Resultat 1-10 av 20
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1.
  • Kanai, M, et al. (författare)
  • 2023
  • swepub:Mat__t
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  • Niemi, MEK, et al. (författare)
  • 2021
  • swepub:Mat__t
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  • Buchanan, E. M., et al. (författare)
  • The Psychological Science Accelerator's COVID-19 rapid-response dataset
  • 2023
  • Ingår i: Scientific Data. - : Springer Science and Business Media LLC. - 2052-4463. ; 10:1
  • Tidskriftsartikel (refereegranskat)abstract
    • In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data.
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  • Jacobsson, Jesper, 1984-, et al. (författare)
  • An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles
  • 2022
  • Ingår i: Nature Energy. - : Springer Nature. - 2058-7546. ; 7:1, s. 107-115
  • Tidskriftsartikel (refereegranskat)abstract
    • Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences. 
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