# mydata_my_pet

Sets referenced data

## Contents

- Syntax
- Description
- Remarks
- To do (remove these remarks after editing this file)
- set metaData
- set data
- set weights for all real data
- overwriting weights (remove these remarks after editing the file)
- set pseudodata and respective weights
- overwriting pseudodata and respective weights (remove these remarks after editing the file)
- pack auxData and txtData for output
- Discussion points
- Facts
- References

## Syntax

[data, auxData, metaData, txtData, weights] = **mydata_my_pet**

## Description

Sets data, pseudodata, metadata, auxdata, explanatory text, weights coefficients. Meant to be a template in add-my-pet

Output

- data: structure with data
- auxData: structure with auxilliairy data that is required to compute predictions of data (e.g. temperature, food.). auxData is unpacked in predict and the user needs to construct predictions accordingly.
- txtData: text vector for the presentation of results
- metaData: structure with info about this entry
- weights: structure with weights for each data set

## Remarks

Plots with the same labels and units can be combined into one plot by assigning a cell string with dataset names to metaData.grp.sets, and a caption to metaData.grp.comment.

## To do (remove these remarks after editing this file)

- copy this template; replace 'my_pet' by the name of your species (Genus_species)
- fill in metaData fields with the proper information
- insert references for each data (an example is given), for multiple references, please use commas to separate references
- edit real data; remove all data that to not belong to your pet
- list facts - this is where you can add relevant/interesting information on its biology
- edit discussion concerning e.g. choice of model, assumptions needed to model certain data sets etc.
- fill in all of the references

## set metaData

## set data

zero-variate data; typically depend on scaled functional response f. here assumed to be equal for all real data; the value of f is specified in pars_init_my_pet. add an optional comment structure to give any additional explanations on how the value was chosen, see the last column of the ab data set for an example

## set weights for all real data

## overwriting weights (remove these remarks after editing the file)

the weights were set automatically with the function setweigths, if one wants to ovewrite one of the weights it should always present an explanation example:

zero-variate data: weights.Wdi = 100 * weights.Wdi; % Much more confidence in the ultimate dry % weights than the other data points uni-variate data: weights.tL = 2 * weights.tL;

## set pseudodata and respective weights

(pseudo data are in data.psd and weights are in weights.psd)

## overwriting pseudodata and respective weights (remove these remarks after editing the file)

the pseudodata and respective weights were set automatically with the function setpseudodata if one wants to overwrite one of the values then please provide an explanation example: data.psd.p_M = 1000; % my_pet belongs to a group with high somatic maint weights.psd.kap = 10 * weights.psd.kap; % I need to give this pseudo data a higher weights

## pack auxData and txtData for output

## Discussion points

## Facts

list facts: F1, F2, etc. make sure each fact has a corresponding bib key do not put any DEB modelling assumptions here, only relevant information on biology and life-cycles etc.

## References

the following reference should be kept for chemical parameter settings -----------------------------