https://doi.org/10.5061/dryad.pnvx0k6x9

This dataset contains all the raw training and testing data used for the statistical analyses and visualisation in the main text.

training.csv:

This file contains data from the training phase of the latency-based go/no-go judgement bias task.

'beeID' entries are the unique identification numbers for each individual bee used in each experiment, coded by integer;

'colony' entries are the unique identification numbers for each colony, coded by letter (A, B, C, ...);

'experiment' entries are the experimental groups (e.g. individual control, individual reward, social control, social reward, etc.);

'colorpositive' entries are the rewarding color used, with 1 = blue, and 2 = green;

'trial' entries are the training trial numbers (integer, starts at 1);

'latency' values are the time taken (in seconds) for a bee to land on a stimulus. Note that maximum latency recorded was 180 seconds; bees that did not land within 180s were censored at 180.

testing.csv:

This file contains data from the testing phase of the latency-based go/no-go judgement bias task.

'beeID' entries are the unique identification numbers for each individual bee used in each experiment (integer);

'colony' entries are the unique identification numbers for each colony (letter);

'testsequence' entries are the counterbalanced test sequence, with 1 = [NP(near positive), M(middle), NN(near negative)], 2 = [NP, NN, M], 3 = [NN, NP, M], 4 = [M, NP, NN], 5 = [M, NN, NP], and 6 = [NN, M, NP];

'colorpositive' entries are the rewarding colour used, with 1 = blue, and 2 = green;

'experiment' entries are the experimental groups;

'testcolor' entries are the ambiguous color stimulus being tested, including P(positive), NP(near positive), M(middle), NN(near negative), N(negative);

'latency' values are the are the time taken (in seconds) for a bee to land on a stimulus. Note that latency was recorded same as training file.

testing_active_choice.csv:

This file contains data from the active choice judgement bias task (two-choice T-maze).

'beeID' entries are the unique identification numbers for each individual bee used in each experiment (alphanumeric; letter + integer);

'colony' entries are the unique identification numbers for each colony (letter);

'experiment' entries are the experimental groups (social control, social reward);

'higharm' entries are the side of the T- maze arm containing the high-value sucrose solution (Left or Right);

'highcolor' entries are the high-reward colour used, with 1 = blue, and 2 = green;

'trainingaccuracy' entries are the accuracy of the last 20 training trials;

'testsequence' entries are the counterbalanced test sequence, with 1 = [NH(near-high), H(high), M(middle), L(low), NL(near-low)], 2 = [NH, L, M, H, NL], 3 = [NL, H, M, L, NH], 4 = [NL, L, M, H, NH], 5 = [M, H, NH, L, NL], 6 = [M, L, NH, H, NL], 7 = [NH, H, NL, L, M], 8 = [NH, L, NL, H, M], 9 = [NL, H, NH, L, M], 10 = [NL, L, NH, H, M], 11 = [M, H, NL, L, NH], 12 = [M, L, NL, H, NH];

'testcolor' entries are the conditioned or ambiguous color tested, chosen from H(high), NH(near-high), M(middle), NL(near-low), and L(low);

'response' entries are the arm chosen by the bee, with 1 = chose the high-reward arm, 0 = chose the low-reward arm.

affective_contagion_latency_analysis.Rmd:

This file contains the R Markdown script for the statistical analysis and visualization of the latency-based go/no-go judgement bias task in the main text . It uses the 'training.csv' and 'testing.csv' listed above.

affective_contagion_latency_analysis.html:

Rendered HTML output from the above .Rmd file, including full analysis results, figures, and model outputs.

active_choice_affective_contagion_analysis.Rmd:

This file contains the R Markdown scriptcode for the statistical analysis and the visualization of the active-choice judgement bias task. It uses the 'testing_active_choice.csv' listed above.

active_choice_affective_contagion_analysis.html:

Rendered HTML output from the above .Rmd file.