| 1. |
- Niemi, MEK, et al.
(författare)
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- 2021
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swepub:Mat__t
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| 2. |
- Kanai, M, et al.
(författare)
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- 2023
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swepub:Mat__t
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| 3. |
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| 4. |
- Delios, A., et al.
(författare)
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Examining the generalizability of research findings from archival data
- 2022
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Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 119:30
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Tidskriftsartikel (refereegranskat)abstract
- This initiative examined systematically the extent to which a large set of archival research findings generalizes across contexts. We repeated the key analyses for 29 original strategic management effects in the same context (direct reproduction) as well as in 52 novel time periods and geographies; 45% of the reproductions returned results matching the original reports together with 55% of tests in different spans of years and 40% of tests in novel geographies. Some original findings were associated with multiple new tests. Reproducibility was the best predictor of generalizability-for the findings that proved directly reproducible, 84% emerged in other available time periods and 57% emerged in other geographies. Overall, only limited empirical evidence emerged for context sensitivity. In a forecasting survey, independent scientists were able to anticipate which effects would find support in tests in new samples.
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| 5. |
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| 6. |
- Lønborg, C., et al.
(författare)
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A global database of dissolved organic matter (DOM) concentration measurements in coastal waters (CoastDOM v1)
- 2024
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Ingår i: Earth System Science Data. - : Copernicus Publications. - 1866-3508 .- 1866-3516. ; 16:2, s. 1107-1119
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Tidskriftsartikel (refereegranskat)abstract
- Measurements of dissolved organic carbon (DOC), nitrogen (DON), and phosphorus (DOP) concentrations are used to characterize the dissolved organic matter (DOM) pool and are important components ofbiogeochemical cycling in the coastal ocean. Here, we present the first edition of a global database (CoastDOMv1; available at https://doi.org/10.1594/PANGAEA.964012, Lønborg et al., 2023) compiling previously published and unpublished measurements of DOC, DON, and DOP in coastal waters. These data are complementedby hydrographic data such as temperature and salinity and, to the extent possible, other biogeochemical variables(e.g. chlorophyll a, inorganic nutrients) and the inorganic carbon system (e.g. dissolved inorganic carbon andtotal alkalinity). Overall, CoastDOM v1 includes observations of concentrations from all continents. However,most data were collected in the Northern Hemisphere, with a clear gap in DOM measurements from the SouthernHemisphere. The data included were collected from 1978 to 2022 and consist of 62 338 data points for DOC,20 356 for DON, and 13 533 for DOP. The number of measurements decreases progressively in the sequenceDOC > DON > DOP, reflecting both differences in the maturity of the analytical methods and the greater focuson carbon cycling by the aquatic science community. The global database shows that the average DOC concentration in coastal waters (average ± standard deviation (SD): 182±314 µmolC L−1; median: 103 µmolC L−1) is13-fold higher than the average coastal DON concentration (13.6 ± 30.4 µmol N L−1; median: 8.0 µmol N L−1),which is itself 39-fold higher than the average coastal DOP concentration (0.34 ± 1.11 µmol P L−1; median:0.18 µmol P L−1). This dataset will be useful for identifying global spatial and temporal patterns in DOM and willhelp facilitate the reuse of DOC, DON, and DOP data in studies aimed at better characterizing local biogeochemical processes; closing nutrient budgets; estimating carbon, nitrogen, and phosphorous pools; and establishing abaseline for modelling future changes in coastal waters.
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| 7. |
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| 8. |
- Holding, J. B. C., et al.
(författare)
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Total sleep deprivation does not impact emotion categorisation in dynamic stimuli
- 2016
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Ingår i: Journal of Sleep Research. - 0962-1105 .- 1365-2869. ; 25(S1), s. 152-152
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Tidskriftsartikel (refereegranskat)abstract
- Previous studies have highlighted a deficit in facial emotion recognition after sleep loss. However, while some studies suggest an overall deficit in ability, others have only found effects in individual emotions, or no effect at all. The aim of this study was to investigate this relationship in a large sample and to utilise a dynamic test of emotion recognition in multiple modalities. 145 individuals (91 female, ages 18–45) participated in a sleep-deprivation experiment. Participants were randomised into: one night of total sleep deprivation (TSD) or normal sleep (8–9 h in bed). The following day participants completed a computerised emotional recognition test, consisting of 72 visual, audio, and audio-visual clips, representing 12 different emotions. The stimuli were divided into “easy” and “hard” depending on the intensity of emotional display. A mixed ANOVA revealed significant main effects of modality and difficulty, P < 0.001, but no main effect of condition, P = 0.31, on emotional recognition accuracy. Additionally, there was no interaction between condition and difficulty, P = 0.96, or modality, P = 0.67. This study indicates that sleep deprivation does not reduce the ability to recognise emotions. Given that some studies have only found effects on single emotions, it is possible that the effects of sleep loss are more specific than investigated here. However, it is also possible that previous findings relate to the types of static stimuli used. The ability to recognise emotions is key to social perception; this study suggests that this ability is resilient to one night of sleep deprivation.
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