Table_1_Global Transcriptomic Analyses Reveal Genes Involved in Conceptus Development During the Implantation Stages in Pigs.XLSX ‌ 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 ‌ 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 ‌ 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 ‌ 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. ‌ James Muleme (4097410)

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Cleaned data set. ‌ James Muleme (4097410)

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

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

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

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

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

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

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

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