Dataset

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

James Cook University
David Brendan Vaughan (Associated with, Aggregated by) K S Hutson (Associated with)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/28/5b343a73f35f7&rft.title=Data for PhD thesis Chapter 4: Cleaner shrimp clean farmed fish&rft.identifier=10.4225/28/5b343a73f35f7&rft.publisher=James Cook University&rft.description=Datasets (all) in .csv format for direct import into R. The data collection consists of the following datasets:Cocoons.csvThis dataset contains the data used for the analysis of shrimp consumption of leech cocoons only, using a generalise linear models. Cryptocaryon.csvThis dataset contains the data used for all analyses of trophonts on fish. It is the parent dataset.Cryptocaryon2.csvThis 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.csvThis is the Neobenedenia data for on-fish initial models. It is the parent dataset.Neo2.csvThis 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.csvThis is the Neobenedenia eggs parent data for all Neo eggs analyses.Neo.eggs2.csvThis 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.csvThis dataset contains the data used for all analyses of leeches on fish. It is the parent dataset.Leech2.csvThis 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.csvThis is the data used for Appendix 5 of the PhD thesis.       &rft.creator=David Brendan Vaughan&rft.date=2018&rft.coverage=Marine Parasitology Laboratory, Centre for Sustainable Tropical Fisheries and Aquaculture, James Cook University, Townsville, Queensland, Australia&rft.coverage=146.75874417636,-19.323918882391 146.75643798109,-19.324109629109 146.75430712204,-19.324963541588 146.75256018255,-19.326397023502 146.75136816522,-19.32826974268 146.75084775303,-19.330398372756 146.75104988753,-19.332574542845 146.7519547824,-19.334585236533 146.75347386021,-19.33623364254 146.75545842306,-19.337358416376 146.75771420811,-19.337849468909 146.76002040338,-19.337658738237 146.76215126243,-19.336804892128 146.76389820192,-19.335371501558 146.76509021925,-19.333498863807 146.76561063144,-19.331370274139 146.76540849694,-19.329194088004 146.76450360207,-19.327183327946 146.76298452426,-19.325534830595 146.76099996141,-19.324409975332 146.75874417636,-19.323918882391&rft_rights=CC BY 4.0: Attribution 4.0 International http://creativecommons.org/licenses/by/4.0&rft_subject=Cleaning Symbiosis&rft_subject=Cleaner Shrimp&rft_subject=Fish Ectoparasites&rft_subject=Animal Behaviour&rft_subject=Biological Sciences&rft_subject=Zoology&rft_subject=Expanding Knowledge in the Biological Sciences&rft_subject=Expanding Knowledge&rft_subject=Expanding Knowledge&rft.type=dataset&rft.language=English Access the data

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CC BY 4.0: Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0

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Open access. If the data is not freely accessible via the link provided, please contact the nominated data manager or researchdata@jcu.edu.au for assistance.

Full 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.

      

 

Created: 15 05 2018

Data time period: 31 12 2017

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146.75874417636,-19.323918882391 146.75643798109,-19.324109629109 146.75430712204,-19.324963541588 146.75256018255,-19.326397023502 146.75136816522,-19.32826974268 146.75084775303,-19.330398372756 146.75104988753,-19.332574542845 146.7519547824,-19.334585236533 146.75347386021,-19.33623364254 146.75545842306,-19.337358416376 146.75771420811,-19.337849468909 146.76002040338,-19.337658738237 146.76215126243,-19.336804892128 146.76389820192,-19.335371501558 146.76509021925,-19.333498863807 146.76561063144,-19.331370274139 146.76540849694,-19.329194088004 146.76450360207,-19.327183327946 146.76298452426,-19.325534830595 146.76099996141,-19.324409975332 146.75874417636,-19.323918882391

146.75822919224,-19.33088417565

text: Marine Parasitology Laboratory, Centre for Sustainable Tropical Fisheries and Aquaculture, James Cook University, Townsville, Queensland, Australia

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