This dataset contains information about various aspects of the alarm communication network of African savannah herbivores. Data were collected in April 2015 and between September 2015 and October 2016 in the Masai Mara National Reserve, in southern Kenya (1°30’S, 35°10’E). Research focused on the 12 most common herbivore species in the ecosystem. For each of these species, the dataset provides information on vigilance rates, the probability to alarm call in response to different predators, the responsiveness to heterospecific alarm calls, as well as the relative abundance and grouping behaviour of species. Details on study species, study design and data analysis are provided in the supporting documentation. Full details about this dataset can be found at https://doi.org/10.5285/cc0794f0-748a-42aa-b491-2f9b65c771a6

The data resource contains Drosophila simulans backcross female mate choice (phenotype) aligned with whole-genome genotypes of 784 female backcross progeny. The data were generated in a laboratory at Stony Brook University, New York and each test was conducted in 28.5 x 95mm plastic vials. Phenotype data was collected in 2015 and the final analysis was completed in 2021. Illumina libraries were sequenced at University of Oregon G3 Genomics Center, and the multiplexed shotgun genotyping (MSG) software was run at Janelia Research Campus, Virginia. The experiments were conducted to align the genotype of females with behavioural phenotype, female preference. Three test females were allowed to choose from three males of either species. ‘Choice’ was determined by copulation, and the species of ‘chosen’ male was recorded before gDNA was extracted from the female. Standard molecular biology was used to generate Illumina libraries from individual backcross females for sequencing. Deniz Erezyilmaz was responsible for data collection and interpretation. Those genomes with incomplete or inconsistent genomes due to sparse reads/coverage were eliminated from the analysis. The research was funded through NERC grant 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/10.5285/8dde3529-1cf7-4b0f-907d-a1631f38afd7

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 is embargoed until May 1, 2025]. The dataset contains information on soil nutrients including pH, available phosphorus, total phosphorus, texture analysis in sand, clay and silt, and exchangeable Ca, Mg, K, Na. Soil pyrogenic carbon, including Total Organic Carbon (TOC) (%C_(Bulk)), pyrogenic carbon D13C (lower, median, and upper), pyrogenic carbon (Cpyc), Cpyc%/CBulk, organic carbon and soil bulk density and dry weight of roots. The datasets include information about the plot location and parameters of the locality. The data were collected between 2019 and 2022 from 27 forest monitoring plots (0.5 ha each) in five locations along an altitudinal (lowland, mid-elevation, and highland forests) and forest perturbation (low, medium, and high perturbation levels) gradient in Andean ecosystems in Colombia. The objective of this data collection was to determine the change in soil characteristics between the disturbance gradients. This information is important for understanding the drivers of variation in forest resilience and the impacts of disturbance on ecosystem functioning. This data set was obtained within the framework of the BioResilience project, a transdisciplinary investigation that seeks to understand the Resilience of forest ecosystems after the post-conflict period in Colombia. This research was supported by the UK Natural Environment Research Council Fund (NE/R017980/1). Full details about this dataset can be found at https://doi.org/10.5285/fbcfc877-a38e-4c26-8d8b-7226392493db

The data consist of eight datasets on stickleback fish personality data. Data are on catch order, mean time spent out of cover, proportion of time fish spent out of cover, sex differences for the catch order, sex differences for the catch order on two occasions and sex differences in the proportion of time spent out of cover. A laboratory population of three-spined sticklebacks (Gasterosteus aculeatus) were filmed and timed using a high definition camera. 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 and NERC (grant NE/H016600/2 Does diversity deliver? How variation in individual knowledge and behavioural traits impact on the performance of animal groups) 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/10.5285/9c7fe956-0ae6-46b6-bca2-2be5778e46bd

Data collected from an experimental inoculation study of house finches with isolates of the bacterial pathogen, Mycoplasma gallisepticum, conducted at Arizona State University, USA in 2015. Data include multiple measurements of disease progression obtained as measures of body mass, symptoms severity scores and infection status. The birds were caught from wild-populations and brought back into the laboratory in July 2015 to allow them to acclimate to laboratory conditions before study onset in October 2015. The experiment was then run for 34-days. Full details about this dataset can be found at https://doi.org/10.5285/ef96a901-a728-493d-8648-641e450d555d

[This dataset is embargoed until May 1, 2025]. The dataset contains information on six functional traits of woody plants, including Leaf Area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC), Leaf Thickness (Lth), Wood Density (WD), Bark Thickness (BT). It also includes data on concentrations of C, N, P, Ca, Mg, and K in leaves; leaf fresh mass and leaf dry mass data; and fresh wood volume and dry wood mass data to calculate Wood Density. Ten leaves per individual were sampled, and three measurements were taken for leaf thickness at the base, middle, and top of the leaf. For wood density, a single branch sample was taken per individual and for bark thickness five measurements per individual were made. The data were collected between 2019 and 2022 from 27 forest monitoring plots (0.5 ha each) in five locations along an altitudinal (lowland, mid-elevation, and highland forests) and forest perturbation (low, medium, and high perturbation levels) gradient in Andean ecosystems in Colombia. The database includes information about the plot location and parameters of the locality. The purpose of this data collection was to determine whether the expression of functional traits in woody plants differs between the perturbation gradient and the relationship of the traits to ecosystem processes. This information is important for understanding the drivers of variation in forest resilience and the impacts of perturbation on ecosystem functioning. This data set was obtained within the framework of the BioResilience project, a transdisciplinary investigation that seeks to understand the resilience of forest ecosystems after the post-conflict period in Colombia. Full details about this dataset can be found at https://doi.org/10.5285/0da218a8-2882-4ee7-bb2a-50a51f7f4138

[This dataset is embargoed until November 10, 2025]. The data resource consists of invasive tree species individual responses to mechanical-chemical/chemical treatments on plots established on invaded sub-tropical mountain secondary forests (Yungas). Those plots are in the Horco Molle experimental reserve and Parque Sierra de San Javier (Horco Molle), Tucumán, Argentina. The current database belongs to an experiment that we conducted to investigate management control of the invasion of non-native species Ligustrum and other exotic species to restore native tree diversity from June 2020 to November 2023. The work was carried out as part of NERC grant NE/S011641/1 Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management. Full details about this dataset can be found at https://doi.org/10.5285/199d5e9f-0a23-4166-a200-0b03384835a4

Data comprise macroinvertebrate count data (identified to species level), trait and classification information, as well as information on macroinvertebrate biomass and site-specific observations (e.g. canopy cover, habitat type, etc.) collected from the South Fork McKenzie river, Oregon, USA in Autumn 2019 and 2020, and winter of 2021 following the Holiday Farm wildfire in Autumn 2020. Samples were collected from restored and unrestored river reaches to quantify the difference in the response of benthic macroinvertebrate response to wildfire. The study was conducted by the University of Nottingham, with data collected by partners from the US Forest Service, Portland State University, Washington State University and Colorado State University. The work was funded by the Natural Environment Research Council. Full details about this dataset can be found at https://doi.org/10.5285/50119e9c-b6d9-4b72-98c9-588ca1d7c6fe

Data are presented showing seedling height, diameter at ground height (DGH), total number of leaves, number of leaves with herbivory damage and leaf mortality, from a plot based fertilisation experiment. The experiment was carried out at the Biological Dynamics of Forest Fragments Project (BDFFP) approximately 100 km north of Manaus. Data were collected bimonthlyfrom February 2019 to January 2020, by the dataset first author. Height measurements were made with a tape measure and DRH measurements were made with digital calipers. Leaf numbers, damage and mortality were made from visual observations. The data were collected to investigate the possible effects of different fertiliser applications on seedling height, totalnumber of leaves, number of leaves with herbivory damage and leaf mortality.The work was carried out as part of the Amazon Fertilization Experiment (AFEX), funded by the Natural Environment Research Council (NERC), Award reference NE/L007223/1, by the Brazilian government (Researcher scholarship) and the Biological Dynamics of Forest Fragments Project (BDFFP - logistical support and camps maintanance). Full details about this dataset can be found at https://doi.org/10.5285/2da56eb1-ff01-48de-ba2a-d3afceefc85f