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Träfflista för sökning "WFRF:(Schmidt Eike Andreas) "

Search: WFRF:(Schmidt Eike Andreas)

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1.
  • Breznau, Nate, et al. (author)
  • Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty
  • 2022
  • In: Proceedings of the National Academy of Sciences of the United States of America. - : National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 119:44
  • Journal article (peer-reviewed)abstract
    • This study explores how researchers analytical choices affect the reliability of scientific findings. Most discussions of reliability problems in science focus on systematic biases. We broaden the lens to emphasize the idiosyncrasy of conscious and unconscious decisions that researchers make during data analysis. We coordinated 161 researchers in 73 research teams and observed their research decisions as they used the same data to independently test the same prominent social science hypothesis: that greater immigration reduces support for social policies among the public. In this typical case of social science research, research teams reported both widely diverging numerical findings and substantive conclusions despite identical start conditions. Researchers expertise, prior beliefs, and expectations barely predict the wide variation in research outcomes. More than 95% of the total variance in numerical results remains unexplained even after qualitative coding of all identifiable decisions in each teams workflow. This reveals a universe of uncertainty that remains hidden when considering a single study in isolation. The idiosyncratic nature of how researchers results and conclusions varied is a previously underappreciated explanation for why many scientific hypotheses remain contested. These results call for greater epistemic humility and clarity in reporting scientific findings.
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2.
  • Antov, Dago, et al. (author)
  • European road users' risk perception and mobility : the SARTRE 4 survey
  • 2012
  • Reports (other academic/artistic)abstract
    • The SARTRE (Social Attitudes to Road Traffic Risk in Europe) project started in 1991. It consists of a European wide survey about knowledge of road traffic laws and road traffic risks, attitudes regarding road safety issues, reported road traffic behaviours, transport habits and needs in several European countries. Various topics related to road safety are in the focus of the project such as alcohol, drugs, or phone use while driving, speeding, use of advanced driver assistance systems and the transport infrastructure and environment.
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3.
  • Kattge, Jens, et al. (author)
  • TRY plant trait database - enhanced coverage and open access
  • 2020
  • In: Global Change Biology. - : Wiley-Blackwell. - 1354-1013 .- 1365-2486. ; 26:1, s. 119-188
  • Journal article (peer-reviewed)abstract
    • Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.
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journal article (2)
reports (1)
Type of content
peer-reviewed (2)
other academic/artistic (1)
Author/Editor
Forward, Sonja (1)
Diaz, Sandra (1)
Ostonen, Ivika (1)
Tedersoo, Leho (1)
Bond-Lamberty, Ben (1)
Moretti, Marco (1)
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Wang, Feng (1)
Verheyen, Kris (1)
Graae, Bente Jessen (1)
Isaac, Marney (1)
Lewis, Simon L. (1)
Zieminska, Kasia (1)
Phillips, Oliver L. (1)
Jackson, Robert B. (1)
Reichstein, Markus (1)
Hickler, Thomas (1)
Rogers, Alistair (1)
Manzoni, Stefano (1)
Pakeman, Robin J. (1)
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Dainese, Matteo (1)
Ruiz-Peinado, Ricard ... (1)
van Bodegom, Peter M ... (1)
Wellstein, Camilla (1)
Gross, Nicolas (1)
Violle, Cyrille (1)
Björkman, Anne, 1981 (1)
Rillig, Matthias C. (1)
Tappeiner, Ulrike (1)
MARQUES, MARCIA (1)
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van der Plas, Fons (1)
Cromsigt, Joris (1)
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Boeckx, Pascal (1)
Estiarte, Marc (1)
Jentsch, Anke (1)
Peñuelas, Josep (1)
Reich, Peter B (1)
Zhang, Nan (1)
Le Roux, Peter C. (1)
Baker, William J. (1)
Onstein, Renske E. (1)
Yannis, George (1)
Antov, Dago (1)
Banet, Aurélie (1)
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University
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Umeå University (1)
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Swedish University of Agricultural Sciences (1)
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English (3)
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