Data are of speed and accuracy of decision making in stickleback fish of different personalities. A laboratory population of three-spined sticklebacks (Gasterosteus aculeatus) were repeatedly tested in a T-maze. The work was carried out between March 2012 and February 2013 at The Structure and Motion Laboratory, Royal Veterinary College. The work was funded by a BBSRC studentship, NERC ( grant NE/H016600/2 Does diversity deliver? How variation in individual knowledge and behavioural traits impact on the performance of animal groups) and The Royal Society (RG 110401) All animal care and experimental procedures described here were approved as non-regulatory procedures by the Ethics and Welfare Committee of the Royal Veterinary College, London (URN 2011 1084). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/1ed2ab55-0688-4513-be9a-f9f0f21d2788

The dataset presents data on female mate choice totals for different species pair combinations. Data are presented for wild types and inbred lines of Drosophila simulans and Drosophilia sechellia females. Most of the data was generated in a laboratory at Stony Brook University, with some at Oxford University. Each test was conducted in 28.5 x 95mm plastic vials. Data was collected at different points between 2014 and 2021 by the lead data author. The work was conducted on mate choice preferences to determine how preferences vary between strains, species and among hybrids. Work was funded under NERC grant NERC NE/S010351/1. Investigating the dual role of mate choice genes in behavioural isolation and hybridization. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/361621ad-6487-47a4-bf8b-00f78705e593

The resource consists of cartesian coordinates, expressed in units of pixels for groups of eight individual fish, swimming in a shoal. The fish were filmed from above with a high resolution video camera. The data were generated from the images and video using automated two-dimensional tracking software. A food stimulus delivering a single food reward was presented six times per trial. The data were collected between July and August 2017 in a controlled fish laboratory at the University of Bristol by the data authors. The data were collected to test the effects of group behaviour in fish shoals on foraging performance. There are instances where one or more fish in a frame could not be tracked. Where such instances occur are indicated in the data files. The research was funded through NERC grant NE/P012639/1 Hunger and knowledge: foraging decisions in an uncertain and social world All procedures regarding the use of animals in research followed United Kingdom guidelines and were approved by the University of Bristol Ethical Review Group (UIN UB/17/060). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/08305a43-79b5-432f-ad20-2ddffe0d1077

The data provide information on a number of male cricket behaviours organized according to time and duration of the behaviour. Also included are the mean temperature at the ground level for the duration of each observation. Full details about this dataset can be found at https://doi.org/10.5285/f56d3d1c-28f2-4667-90b0-ef352243dd2a

This is a dataset on defensive behaviour in response to simulated intergroup conflict in banded mongooses, collected from a wild population of banded mongooses on the Mweya Peninsula, Queen Elizabeth National Park, Uganda between 2016-2017. We experimentally simulated conflict between rival social groups of banded mongooses and recorded data on behavioural responses including interaction with the stimulus, defensive behaviours such as standing upright, scent marking, and attacking, and the cohesion of behavioural responses within the group. These data were collected to examine collective defence behaviour in the face of intergroup conflict. Full details about this dataset can be found at https://doi.org/10.5285/22033a6c-72bf-4e4d-949c-481d4a2606ab

This dataset contains movement metrics of field crickets tracked within an arena modelled on a natural environment. Eight crickets were tracked per trial (13 trials in total), and each trial lasted 3 hours. Of the eight crickets, four were male and four were female. After the tracking ended, each female was allowed to lay eggs. The hatchlings were later counted, and this information is also included in the dataset. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/062d1571-f1cd-4739-89ed-e716f8b0eb79

This is a dataset of the effect of pre-natal provisioning (supply with extra food) on offspring weight and growth, contributions to offspring care, and offspring survival in banded mongooses on the Mweya Peninsula, Queen Elizabeth National Park, Uganda, collected between 2013 and 2016. Pre-natal condition of females was experimentally manipulated by provisioning half of pregnant females in each social group during the second half of pregnancy. The other half of pregnant females did not receive any extra provisioning and acted as matched controls. Through field observations we measured female weight change during pregnancy, weight change during the pup care period following birth (the escorting period), and female contributions to escorting. We also measured pup weight at birth, weight change during the escorting period, and pup survival. Data were collected to examine how extra resources are used by females to level up inequalities in pup weight via the allocation of cooperative care. Full details about this dataset can be found at https://doi.org/10.5285/9c5ce831-aeda-4a59-950f-921f820d28b7

This dataset provides details about each time we observed two banded mongoose groups engaging in what ended up being lethal conflict at our field site (Mweya, Uganda) between 2000-2011. The dataset provides information about which group won the contest (measured by which group ran from the location of the fight), which individual died in the battle, whether that individual was in the losing or winning group, and the date. The purpose of this data was to estimate the proportion of mortalities which come from winning groups vs. losing groups. Full details about this dataset can be found at https://doi.org/10.5285/75f2072e-f708-46d8-baff-0c6d02d81ede

The resource consists of cartesian coordinates, expressed in units of pixels, for fish swimming individually, in groups of six individuals, and in groups of six individuals while presented repeatedly with a food stimulus delivering two food items until satiation. The fish were filmed from above with a high resolution video camera. The data were generated from the images and video using automated two-dimensional tracking software. The data were collected between September 2019 and March 2020 in a controlled fish laboratory at the University of Bristol by the data authors. The data were collected to test how individual temperament and the acquisition of knowledge and satiation interact when animals make foraging decisions in groups. There are instances where one or more fish in a frame could not be tracked. Where such instances occur are indicated in the data files. The research was funded through NERC grant NE/P012639/1 Hunger and knowledge: foraging decisions in an uncertain and social world. All procedures regarding the use of animals in research followed United Kingdom guidelines and were approved by the University of Bristol Ethical Review Group (UIN UB/17/060). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/26f045c3-946b-4115-baf1-defb19bdba42

This dataset contains biologging data of captive red deer Cervus elaphus, to study sleep behaviour. This includes acceleration (m/s2), magnetometer (gauss), and temperature (degrees Celsius) measurements, collected using collar-mounted accelerometer and magnetometer recorders at 20Hz. This data was collected from 18 adult individuals; 13 male, 5 female, in 2023 over three deployments. Deployment 1 (males) 13/06/23 – 1/8/23; deployment 2 (males) 04/09/23 – 08/11/23; deployment 3 (females) 13/11/23 – 21/11/23. Deer were housed at the VUZV facility, Uhrineves, Prague, Czech Republic. This dataset was funded by NERC, as part of project “NE/X010368/1: Sleep in the landscape of fear” and was measured to aid in the creation of a classification model to detect sleep in red deer from collar accelerometers, as well as to test arousal thresholds in sleeping deer. Full details about this dataset can be found at https://doi.org/10.5285/e7fdf789-e663-4422-92c2-ea8019b3cc26