Table_1_Global Transcriptomic Analyses Reveal Genes Involved in Conceptus Development During the Implantation Stages in Pigs.XLSX -н 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. …”

Table_2_Global Transcriptomic Analyses Reveal Genes Involved in Conceptus Development During the Implantation Stages in Pigs.XLSX -н 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. …”

Table_5_Global Transcriptomic Analyses Reveal Genes Involved in Conceptus Development During the Implantation Stages in Pigs.XLSX -н 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. …”

Table_4_Global Transcriptomic Analyses Reveal Genes Involved in Conceptus Development During the Implantation Stages in Pigs.XLSX -н 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. …”

Code for statistical analysis. -н James Muleme (4097410)

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Cleaned data set. -н James Muleme (4097410)

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

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

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

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Code for data preparation. -н 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. -н 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. -н James Muleme (4097410)

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

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APSIM-Millet performance evaluation for plots under crop residue removal. -н Louis Kouadio (21433624)

Georeferenced map of the local Moran’s index of the carbon retained in the soil of the farms. -н Marcos Alexandre Fernandes Ferronato (22566698)

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Georeferenced map of the local Moran’s index of the carbon retained in the farms’ crops. -н Marcos Alexandre Fernandes Ferronato (22566698)

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Georeferenced map of the local Moran’s index of carbon retained in the soil of the farms. -н Marcos Alexandre Fernandes Ferronato (22566698)

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