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VectorByte.org

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VecDyn

Our repository of measures of abundance (e.g. longitudinal surveillance data) of vectors (of plants, animals, and humans).

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In otherwards, repeated measures of quantity over vectors over time.

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VecDyn

search across any field

search across a specified field

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These fields are always same.

They are study metadata.

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Every column in this block has

at least one row that is non-identical. These are the ‘variables’ ��It will very study to study

These values are unique to each

study. ��It is additional metadata that

applies to every row of data

VecDyn

Dataset pages

Download CSV (all fields)

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Data

Downloads

Please consider citing:�

  • The original data generator
  • The curator paper (if applicable)
  • VectorByte

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The download features downloads a .csv file that is suitable for upload to .R

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more info on citing VectorByte:

https://www.vectorbyte.org/blog/how-to-cite-us

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Citations and roles

The actual data reporting paper(s)

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Should always be cited

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If the study has a curatedby section, it was part of a larger data curation effort such as meta analysis. ��Please consider citing as this author did significant work to get this data into VectorByte

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Column definitions

(“Data dictionary“)

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Basis of the VecDyn �data format

Based on the MIReAD standard

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Aims to answer:

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  • Who collected
  • How collected
  • What collected
  • When collected

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Good rule of thumb: You should be able to understand the above just by looking at good datafile without reading methods.

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“Why” the data was collected is important caveat that is hard to capture . . .

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Data synthesis considerations

  • Remember - data was not collected for the purpose of you reusing it. The data generator collected what they needed for their purposes
    • Can be very time consuming
    • Very likely gaps in collecting

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  • Different trap methods/attractants/trap types have different biases �
  • Some providers try and identify every vector they find, other have a list and may ignore species not on that list�
  • Be mindful of how to interpret “missing” data versus “zero” (i.e. “absence of data” versus “evidence of [species] absence”�
  • Be extremely careful about comparing abundance between trapping sites.�
  • Be mindful of sampling frequency differences between datasets

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API access to VecDyn

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Comments, Suggestions?

Please contact us at help@vectorbyte.org