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

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LandCoverClassificationDataset Yazar: Yuan Panli (12698189)

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Mirror tree illustration of dietary ecotype and farming behavior. Yazar: 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. Yazar: 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... Yazar: Dagmara Stępień-Pyśniak (4751454)

DataSheet_1_Remote body condition scoring of Nile crocodiles (Crocodylus niloticus) using uncrewed aerial vehicle derived morphometrics.docx Yazar: 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. Yazar: Hafeza Nujaira (14266303)

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

Comparison of F0.5 using four data sets for simple autoregression (SP) and the FARM method used in this paper. Yazar: 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 Yazar: Harentsoaniaina Rasamoelina Andriamanivo (7354481)

Code for statistical analysis. Yazar: James Muleme (4097410)

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Cleaned data set. Yazar: James Muleme (4097410)

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

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

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

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

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