Zebra Finch Mate Choice Experiments
Exploring Preferences, Dynamics and Fitness Affects
@kaggle.thedevastator_zebra_finch_mate_choice_experiments
Exploring Preferences, Dynamics and Fitness Affects
@kaggle.thedevastator_zebra_finch_mate_choice_experiments
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This dataset provides insight into the powerful influence that experiment design can have on mate choice experiments. Through examining the preferences of male zebra finches, it furthers our comprehension of mutually influential mate choice. The dataset includes various factors such as diet, mass, head width, transformed head width, total number of offspring and transformed total number of offspring which can be used to measure the choices made by male zebra finches when presented with female audience birds in different experiment designs. Additionally, there are columns for beak score and age which are useful in understanding the preferences of the males. Furthermore, this set also offers insight into how these preferences can differ between sexes by collecting data about female preference for audience birds when a male is absent or present. Altogether these values provide an invaluable opportunity to delve deeper into how experimentation shapes results in mate choice studies and learn more about mutual mate choice dynamics when it occurs among zebra finches
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This dataset provides insights on the preferences of male zebra finches in different experiment designs to explore the role of mutual mate choice dynamics. In order to get started, you need to first understand the structure and variables of the dataset. This dataset contains columns for Diet, Mass, Head Width (HW), Transformed Head Width (TranHW), Total Number of Offspring (TSNO), Transformed Total Number of Offespring (TranTSNO), Beak Score, Transformed Beak Score (TranBeakScore), Age, Proportion Preferred Audience Bird when Absent (Propprefaudab) and Proportion Preferred Audience Bird when Present (Propprefaudpres).
Next step is to explore the variables that have an influence on zebra finch preferences in experiment designs. Diet is an important factor that influences mate preference behavior among different species, so it's worthwhile to look at what diet types male zebra finches prefer. Additionally, body mass and beak score are integral features for male attractiveness amongst birds since they are indicative of a bird's quality as a potential mate. As such, it might be interesting to analyze how much these traits affect preference rankings when other factors like diet are taken into account by examining data trends in Mass and Beakscore columns. Additionally one should examine how Age affects Zebra Finch preferences since age disparities could influence fitness associated with reproductive success differently than other traits.
Finally you should look at how audience effects can shape perceived preference by looking at Propprefaudab and Propprefaudpres columns- these values indicate differences between perceived preferences when no audience members are present compared with their presence effect during testing sessions for males attempting female-choice experiments . Examining this data should give insight into whether or not there is an advantage for certain birds or specific audiences based on relative ranked outcomes as compared across both conditions
After understanding each variable and its potential relevance towards mating behavior you can use them together in exploring relationships between them according through experimentation design etc., that would eventually allow us to identify any underlying changes in the behavior displayed due to mate choice productions across different conditions
- Analyzing the effect of different diet types on male preference for female partners.
- Examining the correlation between age and mate choice dynamics.
- Investigating how head width and beak score affect preferences for audience birds in absence experiments
If you use this dataset in your research, please credit the original authors.
Data Source
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
File: DP_Female_Phenotype_Martin_Burley.csv
| Column name | Description |
|---|---|
| Diet | The type of diet the zebra finch was given. (Categorical) |
| Mass | The mass of the zebra finch. (Numerical) |
| HW | The head width of the zebra finch. (Numerical) |
| TranHW | The transformed head width of the zebra finch. (Numerical) |
| TSNO | The total number of offspring of the zebra finch. (Numerical) |
| TranTSNO | The transformed total number of offspring of the zebra finch. (Numerical) |
| Beakscore | The beak score of the zebra finch. (Numerical) |
| TranBeak | The transformed beak score of the zebra finch. (Numerical) |
| Age | The age of the zebra finch. (Numerical) |
| Propprefaudab | The proportion of preference for the audience bird when the zebra finch was absent. (Numerical) |
| Propprefaudpres | The proportion of preference for the audience bird when the zebra finch was present. (Numerical) |
File: Female_Competition_Martin_Burley.csv
| Column name | Description |
|---|---|
| Diet | The type of diet the zebra finch was given. (Categorical) |
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .
CREATE TABLE dp_female_affiliations_martin_burley (
"diet" BIGINT,
"id" BIGINT,
"proptime" DOUBLE,
"totaffbeh" BIGINT,
"trantotaffbeh" DOUBLE,
"unnamed_5" VARCHAR -- Unnamed: 5,
"unnamed_6" VARCHAR -- Unnamed: 6,
"audiencemaley1n0" VARCHAR,
"condition" BIGINT
);CREATE TABLE dp_female_phenotype_martin_burley (
"diet" BIGINT,
"id" VARCHAR,
"mass" DOUBLE,
"hw" DOUBLE,
"tranhw" DOUBLE,
"tsno" DOUBLE,
"trantsno" DOUBLE,
"beakscore" DOUBLE,
"tranbeak" DOUBLE,
"age" DOUBLE,
"propprefaudab" DOUBLE,
"propprefaudpres" DOUBLE
);CREATE TABLE dp_male_perspective_martin_burley (
"id" VARCHAR,
"mass" DOUBLE,
"hw" DOUBLE,
"tsno" BIGINT,
"trantsno" BIGINT,
"beakscoretesttype" DOUBLE,
"testtype" BIGINT,
"testorder" BIGINT,
"sumtime" BIGINT,
"propprefhi" DOUBLE,
"transumtime" DOUBLE
);CREATE TABLE fecundity_trials_martin_burley (
"diet" BIGINT,
"id" VARCHAR,
"b4eggmass" DOUBLE,
"b4cs" DOUBLE,
"b4fecundity" DOUBLE,
"aftereggmass" DOUBLE,
"aftercs" DOUBLE,
"afterfecundity" DOUBLE,
"mass" DOUBLE,
"tsno" DOUBLE,
"trantsno" DOUBLE,
"headwidth" DOUBLE,
"beakscore" DOUBLE,
"proppref" DOUBLE,
"age" BIGINT
);CREATE TABLE female_competition_martin_burley (
"diet" VARCHAR,
"id" VARCHAR,
"unnamed_2" VARCHAR -- Unnamed: 2,
"unnamed_3" VARCHAR -- Unnamed: 3,
"unnamed_4" VARCHAR -- Unnamed: 4,
"unnamed_5" VARCHAR -- Unnamed: 5,
"unnamed_6" VARCHAR -- Unnamed: 6,
"unnamed_7" VARCHAR -- Unnamed: 7,
"unnamed_8" VARCHAR -- Unnamed: 8,
"unnamed_9" VARCHAR -- Unnamed: 9,
"behaviors" VARCHAR,
"unnamed_11" VARCHAR -- Unnamed: 11,
"unnamed_12" VARCHAR -- Unnamed: 12,
"unnamed_13" VARCHAR -- Unnamed: 13,
"unnamed_14" VARCHAR -- Unnamed: 14,
"unnamed_15" VARCHAR -- Unnamed: 15,
"unnamed_16" VARCHAR -- Unnamed: 16,
"unnamed_17" VARCHAR -- Unnamed: 17
);CREATE TABLE group_choice_female_perspective_martin_burley (
"diet" DOUBLE,
"id" VARCHAR,
"proppref" DOUBLE,
"mass" DOUBLE,
"hw" DOUBLE,
"tsno" DOUBLE,
"trantsno" DOUBLE,
"beakscore" DOUBLE,
"tranbeak" DOUBLE,
"age" DOUBLE
);CREATE TABLE group_choice_male_perspective_martin_burley (
"id" VARCHAR,
"propprefhi" DOUBLE,
"mass" DOUBLE,
"hw" DOUBLE,
"tsno" DOUBLE,
"beakscore" DOUBLE,
"age" BIGINT
);Anyone who has the link will be able to view this.