Data for PhD thesis Chapter 4: Cleaner shrimp clean farmed fish

Datasets (all) in .csv format for direct import into R. The data collection consists of the following datasets:

Cocoons.csv

This dataset contains the data used for the analysis of shrimp consumption of leech cocoons only, using a generalise linear models. 

Cryptocaryon.csv

This dataset contains the data used for all analyses of trophonts on fish. It is the parent dataset.

Cryptocaryon2.csv

This is the same dataset as Cryptocaryon.csv but with an additional “line” category used to subset the data into the individual shrimp species for pairwise comparisons using ‘treatment’ as the explanatory variable. Each of these was run as separate generalised linear models with a quasibinomial regression and “logit” link, analysed with Anova() in the ‘car’ package in R:

Cryptonfish1.csv = Lysmata amboinensis specific trophont data subset.

Cryptonfish2.csv = Lysmata vittata specific trophont data subset.

Cryptonfish3.csv = Stenopus hispidus specific trophont data subset.

Cryptonfish4.csv = Urocaridella antonbruunii specific trophont data subset.

 

Tomonts.LA.csv = Lysmata amboinensis specific tomont data subset.

Tomonts.LV.csv = Lysmata vittata specific tomont data subset.

Tomonts.SH.csv = Stenopus hispidus specific tomont data subset.

Tomonts.LA.csv = Urocaridella antonbruunii specific tomont data subset.

Neo.csv

This is the Neobenedenia data for on-fish initial models. It is the parent dataset.

Neo2.csv

This is the same dataset as Neo.csv but with an additional “line” category used to subset the data into the individual shrimp species for pairwise comparisons using ‘treatment’ as the explanatory variable. Each of these was run as separate generalised linear models with a quasibinomial regression and “logit” link, analysed with Anova() in the ‘car’ package in R:

Onfish1.csv = Lysmata amboinensis specific Neobenedenia girellae on-fish data subset.

Onfish2.csv = Lysmata vittata specific Neobenedenia girellae on-fish data subset.

Onfish3.csv = Stenopus hispidus specific Neobenedenia girellae on-fish data subset.

Onfish4.csv = Urocaridella antobruunii specific Neobenedenia girellae on-fish data subset.

Neo.eggs.csv

This is the Neobenedenia eggs parent data for all Neo eggs analyses.

Neo.eggs2.csv

This is the same dataset as Neo.eggs.csv but with an additional “line” category used to subset the data into the individual shrimp species for pairwise comparisons using ‘treatment’ as the explanatory variable. Each of these was run as separate generalised linear models with a quasibinomial regression and “logit” link, analysed with Anova() in the ‘car’ package in R:

Eggs.LA.csv = Lysmata amboinensis specific Neobenedenia eggs data.

Eggs.LV.csv = Lysmata vittata specific Neobenedenia eggs dataa.

Eggs.SH.csv = Stenopus hispidus specific Neobenedenia eggs data.

Eggs.UA.csv = Urocaridella antonbruunii specific Neobenedenia eggs data.

Leech.csv

This dataset contains the data used for all analyses of leeches on fish. It is the parent dataset.

Leech2.csv

This is the same dataset as Leech.csv but with an additional “line” category used to subset the data into the individual shrimp species for pairwise comparisons using ‘treatment’ as the explanatory variable. Each of these was run as separate generalised linear models with a quasibinomial regression and “logit” link, analysed with Anova() in the ‘car’ package in R:

Leech3.csv = Lysmata amboinensis NIGHT ONLY specific data subset.

Leeches.LA = Lysmata amboinensis specific leeches on fish data subset.

Leeches.LV = Lysmata vittata specific leeches on fish data subset.

Leeches.SH = Stenopus hispidus specific leeches on fish data subset.

Leeches_plot_frame.csv = data frame used for leech plots.

Histo.csv

This is the data used for Appendix 5 of the PhD thesis.

      

 

    Data Record Details
    Data record related to this publication Data for PhD thesis Chapter 4: Cleaner shrimp clean farmed fish
    Data Publication title Data for PhD thesis Chapter 4: Cleaner shrimp clean farmed fish
  • Description

    Datasets (all) in .csv format for direct import into R. The data collection consists of the following datasets:

    Cocoons.csv

    This dataset contains the data used for the analysis of shrimp consumption of leech cocoons only, using a generalise linear models. 

    Cryptocaryon.csv

    This dataset contains the data used for all analyses of trophonts on fish. It is the parent dataset.

    Cryptocaryon2.csv

    This is the same dataset as Cryptocaryon.csv but with an additional “line” category used to subset the data into the individual shrimp species for pairwise comparisons using ‘treatment’ as the explanatory variable. Each of these was run as separate generalised linear models with a quasibinomial regression and “logit” link, analysed with Anova() in the ‘car’ package in R:

    Cryptonfish1.csv = Lysmata amboinensis specific trophont data subset.

    Cryptonfish2.csv = Lysmata vittata specific trophont data subset.

    Cryptonfish3.csv = Stenopus hispidus specific trophont data subset.

    Cryptonfish4.csv = Urocaridella antonbruunii specific trophont data subset.

     

    Tomonts.LA.csv = Lysmata amboinensis specific tomont data subset.

    Tomonts.LV.csv = Lysmata vittata specific tomont data subset.

    Tomonts.SH.csv = Stenopus hispidus specific tomont data subset.

    Tomonts.LA.csv = Urocaridella antonbruunii specific tomont data subset.

    Neo.csv

    This is the Neobenedenia data for on-fish initial models. It is the parent dataset.

    Neo2.csv

    This is the same dataset as Neo.csv but with an additional “line” category used to subset the data into the individual shrimp species for pairwise comparisons using ‘treatment’ as the explanatory variable. Each of these was run as separate generalised linear models with a quasibinomial regression and “logit” link, analysed with Anova() in the ‘car’ package in R:

    Onfish1.csv = Lysmata amboinensis specific Neobenedenia girellae on-fish data subset.

    Onfish2.csv = Lysmata vittata specific Neobenedenia girellae on-fish data subset.

    Onfish3.csv = Stenopus hispidus specific Neobenedenia girellae on-fish data subset.

    Onfish4.csv = Urocaridella antobruunii specific Neobenedenia girellae on-fish data subset.

    Neo.eggs.csv

    This is the Neobenedenia eggs parent data for all Neo eggs analyses.

    Neo.eggs2.csv

    This is the same dataset as Neo.eggs.csv but with an additional “line” category used to subset the data into the individual shrimp species for pairwise comparisons using ‘treatment’ as the explanatory variable. Each of these was run as separate generalised linear models with a quasibinomial regression and “logit” link, analysed with Anova() in the ‘car’ package in R:

    Eggs.LA.csv = Lysmata amboinensis specific Neobenedenia eggs data.

    Eggs.LV.csv = Lysmata vittata specific Neobenedenia eggs dataa.

    Eggs.SH.csv = Stenopus hispidus specific Neobenedenia eggs data.

    Eggs.UA.csv = Urocaridella antonbruunii specific Neobenedenia eggs data.

    Leech.csv

    This dataset contains the data used for all analyses of leeches on fish. It is the parent dataset.

    Leech2.csv

    This is the same dataset as Leech.csv but with an additional “line” category used to subset the data into the individual shrimp species for pairwise comparisons using ‘treatment’ as the explanatory variable. Each of these was run as separate generalised linear models with a quasibinomial regression and “logit” link, analysed with Anova() in the ‘car’ package in R:

    Leech3.csv = Lysmata amboinensis NIGHT ONLY specific data subset.

    Leeches.LA = Lysmata amboinensis specific leeches on fish data subset.

    Leeches.LV = Lysmata vittata specific leeches on fish data subset.

    Leeches.SH = Stenopus hispidus specific leeches on fish data subset.

    Leeches_plot_frame.csv = data frame used for leech plots.

    Histo.csv

    This is the data used for Appendix 5 of the PhD thesis.

          

     

  • Other Descriptors
  • Data type dataset
  • Keywords
    • cleaning symbiosis
    • cleaner shrimp
    • fish ectoparasites
  • Funding source
  • Research grant(s)/Scheme name(s)
  • Research themes
    Tropical Ecosystems, Conservation and Climate Change
    FoR Codes (*)
    SEO Codes
    Specify spatial or temporal setting of the data
    Temporal (time) coverage
  • Start Date
  • End Date
  • Time Period
    Spatial (location) coverage
  • Locations
    • Marine Parasitology Laboratory, Centre for Sustainable Tropical Fisheries and Aquaculture, James Cook University, Townsville, Queensland, Australia
  • Related publications
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  • Related metadata (including standards, codebooks, vocabularies, thesauri, ontologies)
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    • Notes
    Citation Vaughan, David (2018): Data for PhD thesis Chapter 4: Cleaner shrimp clean farmed fish. James Cook University. https://doi.org/10.4225/28/5b343a73f35f7