Table_4_Global Transcriptomic Analyses Reveal Genes Involved in Conceptus Development During the Implantation Stages in Pigs.XLSX Tekijä Xupeng Zang (9555005)

“…<p>Prenatal mortality remains a significant concern to the pig farming industry around the world. Spontaneous fetal loss ranging from 20 to 45% by term occur after fertilization, with most of the loss happening during the implantation period. …”

Fig 1 - Tekijä Karl Cutajar (18605405)

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Plots for currents measured near surface, mid-water and near seabed at different positions around the fish farm throughout the study period between October 2018 and July 2019. Tekijä Karl Cutajar (18605405)

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Nutrient input parameters and assumptions for sea bream, sea bass and amberjack. Tekijä Karl Cutajar (18605405)

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Particulate waste dispersion from fish in fish cages to the seabed on monthly basis over a twelve-month period (October 2018 to July 2019). Tekijä Karl Cutajar (18605405)

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Feed settling velocities for sea bream, sea bass and amberjack. Tekijä Karl Cutajar (18605405)

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Flow diagram of the modifications in the process used to model waste dispersion per cage. Tekijä Karl Cutajar (18605405)

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Maximum deposition rates (F_max) predicted directly below fish cage positions every month between October 2018 and July 2019. Tekijä Karl Cutajar (18605405)

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Code for statistical analysis. Tekijä James Muleme (4097410)

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Cleaned data set. Tekijä James Muleme (4097410)

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Conditional inference tree for the outcome class membership including all potential predictor variables. Tekijä James Muleme (4097410)

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Results of the multivariable logistic regression to assess potential associations with of the outcome variable “knowing what antibiotics are” with demographic factors. Tekijä James Muleme (4097410)

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Descriptive statistics for relevant categorical demographic variables and their association with the outcome “knowing what antibiotics” are. Tekijä James Muleme (4097410)

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Conditional inference tree for the outcome “knowing what antibiotics are” including all potential predictor variables. Tekijä James Muleme (4097410)

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This is the raw data set as collected which can be analysed with the code in S2 and S3. Tekijä James Muleme (4097410)

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Code for data preparation. Tekijä James Muleme (4097410)

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Conditional inference tree to assess class membership of the polytomous latent class analysis based on the statements related to proposed actions to address AMR. Tekijä James Muleme (4097410)

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Results of the polytomous latent class analysis analysing responses to 7 statements related to proposed actions to address AMR. Tekijä James Muleme (4097410)

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Descriptive demographic data on keeping different animal species and reasons to treat animals with antibiotics. Tekijä James Muleme (4097410)

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Results of the polytomous latent class analysis analysing responses to 10 statements related to knowledge and attitudes towards antibiotics. Tekijä James Muleme (4097410)

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