Output transfer and nominal protection coefficient on output values of tomato farming in Indonesia, 2019–2019 rainy season and 2020 dry season. ‌ Saptana (11383892)

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LandCoverClassificationDataset ‌ Yuan Panli (12698189)

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Mirror tree illustration of dietary ecotype and farming behavior. ‌ Charlene L. McCord (3249723)

Impact of a fasting day on likelihood of daily consumption of different food groups for children in remote and non-remote households. ‌ Eline D’Haene (11819816)

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Case reports involving coinfection with <i>Avibacterium paragallinarum</i> and <i>Ornithobacterium rhinotracheale</i> in broiler chickens and <i>Avibacterium endocarditis</i> in br... ‌ Dagmara Stępień-Pyśniak (4751454)

DataSheet_1_Remote body condition scoring of Nile crocodiles (Crocodylus niloticus) using uncrewed aerial vehicle derived morphometrics.docx ‌ Devon Viljoen (16999608)

“…However, there are currently no quantitative methods for deriving body condition scores of crocodilians through remote sensing. This study presents seven UAV-based morphometric measures collected from rectified aerial imagery of farmed Nile crocodiles. …”

Overview of shrimp farming in the study area. ‌ Hafeza Nujaira (14266303)

Comparison of F3.0 using four data sets for simple autoregression (SP) and the FARM method used in this paper. ‌ Anna L. Buczak (549900)

Comparison of F0.5 using four data sets for simple autoregression (SP) and the FARM method used in this paper. ‌ Anna L. Buczak (549900)

How could an African swine fever outbreak evolve in an enzootic context? The case of Imerintsiatosika, Madagascar in 2015 - Fig 3 ‌ Harentsoaniaina Rasamoelina Andriamanivo (7354481)

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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