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Träfflista för sökning "(WFRF:(Norman L)) srt2:(2020-2024)"

Search: (WFRF:(Norman L)) > (2020-2024)

  • Result 1-10 of 87
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1.
  • Kanai, M, et al. (author)
  • 2023
  • swepub:Mat__t
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2.
  • Niemi, MEK, et al. (author)
  • 2021
  • swepub:Mat__t
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3.
  • 2021
  • swepub:Mat__t
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4.
  • Bravo, L, et al. (author)
  • 2021
  • swepub:Mat__t
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5.
  • Tabiri, S, et al. (author)
  • 2021
  • swepub:Mat__t
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6.
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8.
  • 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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9.
  • Kapoor, Pooja Middha, et al. (author)
  • Combined associations of a polygenic risk score and classical risk factors with breast cancer risk
  • 2021
  • In: Journal of the National Cancer Institute. - : Oxford University Press (OUP). - 0027-8874 .- 1460-2105. ; 113:3, s. 329-337
  • Journal article (peer-reviewed)abstract
    • We evaluated the joint associations between a new 313-variant PRS (PRS313) and questionnaire-based breast cancer risk factors for women of European ancestry, using 72 284 cases and 80 354 controls from the Breast Cancer Association Consortium. Interactions were evaluated using standard logistic regression and a newly developed case-only method for breast cancer risk overall and by estrogen receptor status. After accounting for multiple testing, we did not find evidence that per-standard deviation PRS313 odds ratio differed across strata defined by individual risk factors. Goodness-of-fit tests did not reject the assumption of a multiplicative model between PRS313 and each risk factor. Variation in projected absolute lifetime risk of breast cancer associated with classical risk factors was greater for women with higher genetic risk (PRS313 and family history) and, on average, 17.5% higher in the highest vs lowest deciles of genetic risk. These findings have implications for risk prevention for women at increased risk of breast cancer. 
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10.
  • Ades, M., et al. (author)
  • Global Climate : in State of the climate in 2019
  • 2020
  • In: Bulletin of The American Meteorological Society - (BAMS). - : American Meteorological Society. - 0003-0007 .- 1520-0477. ; 101:8, s. S17-S127
  • Journal article (peer-reviewed)
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  • Result 1-10 of 87
Type of publication
journal article (73)
conference paper (6)
research review (3)
Type of content
peer-reviewed (75)
other academic/artistic (7)
Author/Editor
Norman, M. (16)
Martin, J. (10)
Pata, F (7)
Elhadi, M (7)
Lawani, I (7)
Tabiri, S (7)
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Bhangu, A (7)
Brown, A. (6)
Sharma, S. (6)
Ghosh, D (6)
Patel, A (6)
Shaw, R (6)
Alameer, E (6)
Qureshi, AU (6)
Thomas, A (6)
Davies, E. (5)
Adams, M. (5)
Jones, M. (5)
Jones, R. (5)
Khan, A. (5)
Thomas, E. (5)
Ali, S (5)
Evans, J. (5)
Wang, Xin (5)
Smith, L (5)
Smith, J. (5)
Cox, D (5)
Emile, S (5)
Lawday, S (5)
Li, E (5)
Smart, N (5)
Jones, CS (5)
Gallo, G (5)
Satoi, S (5)
Ayasra, F (5)
Brar, A (5)
Harrison, EM (5)
Olivos, M (5)
Outani, O (5)
Santos, I (5)
Ahmed, A (5)
Murphy, C (5)
Gori, A (5)
Lieske, B (5)
Patel, K (5)
Patel, M (5)
Findlay, L (5)
Price, C (5)
Newman, T (5)
Parmar, C (5)
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University
Karolinska Institutet (41)
Uppsala University (18)
University of Gothenburg (15)
Stockholm University (12)
Lund University (9)
Swedish University of Agricultural Sciences (6)
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Umeå University (5)
Linköping University (5)
Royal Institute of Technology (4)
Karlstad University (4)
Örebro University (3)
Linnaeus University (3)
Malmö University (2)
Swedish Museum of Natural History (2)
Luleå University of Technology (1)
Jönköping University (1)
Stockholm School of Economics (1)
Chalmers University of Technology (1)
RISE (1)
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Language
English (87)
Research subject (UKÄ/SCB)
Natural sciences (32)
Medical and Health Sciences (23)
Agricultural Sciences (4)
Social Sciences (3)
Engineering and Technology (1)

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