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965 results for “behavioural data”
Data from: Effect of culling on individual badger (Meles meles) behaviour: potential implications for bovine tuberculosis transmission
1. Culling wildlife as a form of disease management can have unexpected and sometimes counterproductive outcomes. In the UK, badgers (Meles meles) are culled in efforts to reduce badger-to-cattle transmission of Mycobacterium bovis, the causative agent of bovine tuberculosis (TB). However, culling has previously been associated with both increased and decreased incidence of M. bovis infection in cattle. 2. The adverse effects of culling have been linked to cull-induced changes in badger ranging, but such changes are not well documented at the individual level. Using GPS-collars, we characterised individual badger behaviour within an area subjected to widespread industry-led culling, comparing it with the same area before culling and with three unculled areas. 3. Culling was associated with a 61% increase (95% CI 27-103%) in monthly home range size, a 39% increase (95% CI 28-51%) in nightly maximum distance from the sett, and a 17% increase (95% CI 11-24%) in displacement between successive GPS-collar locations recorded at 20-minute intervals. Despite travelling further, we found a 91.2 minute (95% CI 67.1-115.3 minute) reduction in the nightly activity time of individual badgers associated with culling. These changes became apparent while culls were ongoing and persisted after culling ended. 4. Expanded ranging in culled areas was associated with individual badgers visiting 45% (95% CI 15-80%) more fields each month, suggesting that surviving individuals had the opportunity to contact more cattle. Moreover, surviving badgers showed a 19.9-fold increase (95% CI 10.8-36.4 increase) in the odds of trespassing into neighbouring group territories, increasing opportunities for intergroup contact. 5. Synthesis and Applications: Badger culling was associated with behavioural changes among surviving badgers which potentially increased opportunities for both badger-to-badger and badger-to-cattle transmission of M. bovis. Furthermore, by reducing the time badgers spent active, culling may have reduced badgers' accessibility to shooters, potentially undermining subsequent population control efforts. Our results specifically illustrate the challenges posed by badger behaviour to cull-based TB control strategies and furthermore, they highlight the negative impacts culling can have on integrated disease control strategies.
Data and R script for: Shoaling behaviour in response to turbidity in three-spined sticklebacks
<p class="MsoNormal"><span>Many fresh and coastal waters are becoming increasingly turbid because of human activities, which may disrupt the visually-mediated behaviours of aquatic organisms. Shoaling fish typically depend on vision to maintain collective behaviour, which has a range of benefits including protection from predators, enhanced foraging efficiency, and access to mates. Previous studies of the effects of turbidity on shoaling behaviour have focussed on changes to nearest neighbour distance and average group-level behaviours. Here, we investigated whether and how experimental shoals of three-spined sticklebacks (<em><span>Gasterosteus aculeatus</span></em>) in clear (<10 <span>Nephelometric Turbidity Units (NTU))</span> and turbid (~35 NTU<span>) </span>conditions differed in five local-level behaviours of individuals (nearest and furthest neighbour distance, heading difference with nearest neighbour, bearing angle to nearest neighbour, and swimming speed). These variables are important for the emergent group-level properties of shoaling behaviour. We found an indirect effect of turbidity on nearest-neighbour distances driven by a reduction in swimming speed, and a direct effect of turbidity which increased variability in furthest neighbour distances. In contrast, the alignment and relative position of individuals was not significantly altered in turbid compared to clear conditions. Overall, our results suggest that the shoals were usually robust to adverse effects of turbidity on collective behaviour, but group cohesion was occasionally lost during periods of instability.</span></p>
Beneath the Antarctic sea-ice: Fine-scale analysis of Weddell seal (Leptonychotes weddellii) behaviour and predator-prey interactions, using micro-sonar data in Terre Adélie
<p>In this study, we tried to assess:<br>i) whether and how female Weddell seals feed (frequency, depth, duration) during lactation,<br>ii) what is their utilization of a limited foraging area (benthic or pelagic dives) as they are spatially constrained by the presence of their pup, and<br>iii) how can we characterize their foraging dives and the approach/catching phases using new tools providing a more detailed description of their behaviour.<br>Sonar tags were deployed on three breeding female Weddell seals in Terre Adélie (East Antarctica) in November 2019, to study animals' movements and dives at high resolution (3D acceleration, magnetometry, time and depth and GPS location), as well as information on prey and predator-prey interactions using acoustic data.</p>
Baboon approach behaviour data - Gorongosa National Park, Mozambique and Gombe National Park, Tanzania
<p><em><strong>See README file for more complete information</strong></em></p> <p><strong>Overview: </strong>This dataset provides presence/absence data for each of 299 observations from Gorongosa National Park and 73 observations from Gombe National Park. Each observation is one "proximity event", where an adult/subadult baboon approached another adult/subadult baboon from outside 5 m to within 2 m. Data was first collected using BORIS (Friard and Gamba, 2016) following an ethogram (DOI:10.5281/zenodo.7314291), then cleaned using Python version 3.8.5 and R version 4.0.5 to format as a presence/absence matrix. </p> <p><strong>Study species: </strong>Papio ursinus griseipes (chacma baboon) and Papio anubis (olive baboon) where specified</p> <p><strong>Dates of data collection:</strong> Videos in Gorongosa National Park were filmed 2018-10 to 2018-11 and 2019-07 to 2019-11. Videos in Gombe Stream national Park were recorded 2021-1 to 2021-5 and 2021-8 to 2021-9.</p> <p><strong>Geographic location of data collection:</strong> Gorongosa National Park, Mozambique and Gombe Stream National Park, Tanzania as specified by observation<br><br><strong>Video coding software: </strong>BORIS (Friard and Gamba, 2016)</p> <p><strong>Recommended citation in BibTex form:</strong></p> <p>@ELECTRONIC{Muschinski2022b,<br> author = {Muschinski, Jana and Carvalho, Susana},<br> year = {2023},<br> title = {Baboon approach behaviour data - {Gorongosa National Park}, {Mozambique} and {Gombe National Park}, {Tanzania}},<br> doi = {10.5281/zenodo.10339023},<br> owner = {Paleo-Primate Project, Gorongosa National Park},<br> organization = {Paleo-Primate Project, Gorongosa National Park}<br>}<br> </p>
R scripts, input and output data for: Season of death, pathogen persistence and wildlife behaviour alter number of anthrax secondary infections from environmental reservoirs
<p>An important part of infectious disease management is predicting factors that influence disease outbreaks, such as <em>R</em>, the number of secondary infections arising from an infected individual. Estimating <em>R</em> is particularly challenging for environmentally transmitted pathogens given time lags between cases and subsequent infections. Here, we calculated <em>R</em> for <em>Bacillus anthracis</em> infections arising from anthrax carcass sites in Etosha National Park, Namibia. Combining host behavioural data, pathogen concentrations, and simulation models, we show that <em>R</em> is spatially and temporally variable, driven by spore concentrations at death, host visitation rates and early preference for foraging at infectious sites. While spores were detected up to a decade after death, most secondary infections occurred within two years. Transmission simulations under scenarios combining site infectiousness and host exposure risk under different environmental conditions led to dramatically different outbreak dynamics, from pathogen extinction (<em>R</em><1) to explosive outbreaks (<em>R</em>>10). These transmission heterogeneities may explain variation in anthrax outbreak dynamics observed globally, and more generally, the critical importance of environmental variation underlying host-pathogens interactions. Notably, our approach allowed us to estimate the lethal dose of a highly virulent pathogen non-invasively from observational studies and epidemiological data, useful when experiments on wildlife are undesirable or impractical.</p>
Different components of cognitive-behavioural therapy affect specific cognitive mechanisms: supporting data
<p>This repository holds data associated with the manuscript "Different components of cognitive-behavioural therapy affect specific cognitive mechanisms" (<a href="https://osf.io/preprints/psyarxiv/ydct5">https://osf.io/preprints/psyarxiv/ydct5</a>).</p><ul><li>rew-eff-planningX .csv files represent data from experiments testing effects of a planning/goal-setting intervention on reward-effort decision-making (X=1, initial discovery sample, X=2, replication sample)</li><li>causal-attr-X .csv files represent data from experiments testing the effects of a cognitive restructuring intervention on causal attribution tendencies (X=1, initial discovery sample, X=2, replication sample)</li><li>crossover-study-X .csv files represent data from the crossover-design study (data saved separately for participants randomly allocated to complete the reward-effort vs causal attribution tasks).</li></ul><p>Data-generating task code and full analysis code can be found at <a href="https://github.com/agnesnorbury/cognitive-mechanisms-psychotherapy">https://github.com/agnesnorbury/cognitive-mechanisms-psychotherapy</a>.</p>
Data from: Among-individual behavioural variation in the ornamental red cherry shrimp, Neocaridina heteropoda
<p><span>Personality variation, defined as among-individual differences in behaviour that are repeatable across time and context, has been reported across animal taxa. From an evolutionary perspective, characterising the amount and structure of this variation is useful since differences among-individuals are the raw material for adaptive behavioural evolution. However, it is becoming apparent that behavioural variation among-individuals also has implications for more applied areas of evolution and ecology – from invasion biology, to ecotoxicology, and selective breeding in captive systems. Here, we investigate the structure of personality variation in the red cherry shrimp, <em>Neocaridina heteropoda</em>, a popular ornamental species that is readily kept and bred under lab conditions and is emerging as a decapod crustacean model across these fields, but for which basic biological, ecological, and behavioural data is limited. Using two assays and a repeated measures approach, we quantify behaviours putatively indicative of shy-bold variation and test for sexual dimorphism and/or size-dependent behaviours (as predicted by some state-dependent models of personality). We find moderate to high behavioural repeatabilities across traits. Although strong individual level correlations across behaviours are consistent with a major personality axis underlying these observed traits, the multivariate structure of personality variation does not fully match a priori expectations of a shy-bold axis. This may reflect our ecological naivety with respect to what really constitutes bolder, more risk prone, behaviour in this species. We find no evidence for sexual dimorphism and only weak support size-dependent behaviour. Our study contributes to the growing literature describing behavioural variation in aquatic invertebrates. Furthermore, it lays a foundation for further studies harnessing the potential of this emerging model system. In particular, this existing behavioural variation could be functionally linked to life-history traits and invasive success, and serve as target of artificial selection or bioassays. It thus holds significant promise in applied research across ecotoxicology, aquaculture, and invasion biology.</span></p>
Context-dependent multimodal behaviour in a coral reef fish: Stage 1 & 2 total duration and count data in behaviour trials
<p>Animals are expected to respond flexibly to changing circumstances, with multimodal signalling providing potential plasticity in social interactions. Whilst numerous studies have documented context-dependent behavioural trade-offs in terrestrial species, far less work has considered such decision-making in fish, especially in natural conditions. Coral reef ecosystems host 25% of all known marine species, making them hotbeds of competition and predation. We conducted experiments with wild Ambon damselfish (<em>Pomacentrus amboinensis)</em> to investigate context-dependent responses to a conspecific intruder; specifically, how nest defence is influenced by an elevated predation risk. We found that nest-defending male Ambon damselfish responded aggressively to a conspecific intruder, spending less time sheltering and more time interacting, as well as signalling both visually and acoustically. In the presence of a model predator compared to a model herbivore, males spent less time interacting with the intruder, with a tendency towards reduced investment in visual displays compensated for by an increase in acoustic signalling instead. We therefore provide ecologically valid evidence that the context experienced by an individual can affect its behavioural responses and multimodal displays towards conspecific threats.</p>
Data from: Ecology of fear alters behaviour of grizzly bears exposed to bear-viewing ecotourism
<p>Humans are perceived as predators by many species and may generate landscapes of fear, influencing the spatiotemporal activity of wildlife. Additionally, wildlife might seek out human activity when faced with predation risks (human shield hypothesis). We used the Anthropause, a decrease in human activity resulting from the COVID-19 pandemic, to test the ecology of fear and human shield hypotheses and quantify the effects of bear-viewing ecotourism on grizzly bear (<em>Ursus arctos</em>) activity. We deployed camera traps in the Khutze watershed in Kitasoo Xai'xais Territory in the absence of humans in 2020 and with experimental treatments of variable human activity when ecotourism resumed in 2021. Daily bear detection rates decreased with more people present and increased with days since people were present. Human activity was also associated with more bear detections at forested sheltered sites, and less at exposed sites, likely due to the influence of habitat on bear perception of safety. The number of people negatively influenced adult male detection rates, but we found no influence on females with young detections, providing no evidence that females responded behaviourally to a human shield effect from reduced male activity. We also observed apparent trade-offs of risk avoidance and foraging. When salmon levels were moderate to high, detected bears were more likely to be females with young than adult males on days with more people present. Should managers want to minimize human impacts on bear activity and maintain baseline age-sex class composition at ecotourism sites, multi-day closures and daily occupancy limits may be effective. More broadly, this work revealed that antipredator responses can vary with the intensity of risk cues, habitat structure, and forage trade-offs, as well as manifest as the altered age-sex class composition of individuals using human-influenced areas, highlighting that wildlife avoids people across multiple spatiotemporal scales.</p>
Land surface temperature (heatmaps) derived from earth observation data to assess thermal behaviour of 3 European cities: Milano, Logroño and Athens.
<p>Next tables present the detail description of the datasets developed in REACHOUT to characterize heat phenomena at city level by providing an assessment of the <strong>land surface temperature (heatmaps)</strong> of three European cities: Milan, Logroño and Athens. TECNALIA is the responsible partner for these datasets.</p> <p>There is a wide range of methods that can be used to characterise the thermal behaviour of a city, each of them with its advantages and disadvantages. One of these methods uses the land surface temperature that is obtained from remote sensing observations. Although thermal indices are considered more suitable when characterising thermal comfort, still the LST can provide a useful information about the behaviour of a citiy’s surfaces and materials. This has implications for several applications such as urban energy efficiency or urban environmental health. </p> <p>The input data used by the current version of the dataset came from Landsat 8. All the images acquired since 2013 by this satellite for Milan, Logroño and Athens were downloaded and processed to characterise not only the current (2019-2023) thermal behaviour of the city, but also its evolution considering the last seven 5-year windows.</p> <p>- 2013-2017<br>- 2014-2018<br>- 2015-2019<br>- 2016-2020<br>- 2017-2021<br>- 2018-2022<br>- 2019-2023</p> <p>The input data used in this dataset come from Landsat 8 downloaded from <a href="https://earthexplorer.usgs.gov/">Earth Explorer (usgs.gov)</a>.</p> <p>The format of this dataset is organized in two ZIP format files:</p> <p>- LANDSAT_8_L2SP_000000-milan_LST_peak.zip</p> <p>- LANDSAT_8_L2SP_000000-logrono_LST_peak.zip</p> <p>- LANDSAT_8_L2SP_000000-athens_LST_peak.zip</p> <p>Each of these zip files contain seven TIF images that represent the peak LST map according to the images of the above mentioned seven periods. The peak LST is obtained after getting the Annual Cycle Parameters of each of the periods and selecting a 30-day window centred on the day that the city reaches the maximum LST.</p> <p>The values of the images are in degree Celsius and nodata value is -9999.</p> <p> </p>
Data from: Pre-copulatory reproductive behaviours are preserved in Drosophila melanogaster infected with bacteria
<p>The activation of the immune system upon infection exerts a huge energetic demand on an individual, likely decreasing available resources for other vital processes, like reproduction. The factors that determine the trade-off between defensive and reproductive traits remain poorly understood. Here, we exploit the experimental tractability of the fruit fly <em>Drosophila melanogaster</em> to systematically assess the impact of immune system activation on pre-copulatory reproductive behaviour. Contrary to expectations, we found that male flies undergoing an immune activation continue to display high levels of courtship and mating success. Similarly, immune-challenged female flies remain highly sexually receptive. By combining behavioural paradigms, a diverse panel of pathogens and genetic strategies to induce the fly immune system, we show that pre-copulatory reproductive behaviours are preserved in infected flies, despite the significant metabolic cost of infection.</p>
Data from: Active regulation of ultraviolet light exposure overrides thermal preference behaviour in eastern fence lizards
<p>1. Over a century of ecophysiological studies on lizards have perpetuated the assumption that basking and shuttling movements between sun and shade function solely for temperature regulation. However, these behaviors also modulate exposure to ultraviolet (UV) wavelengths that are essential for maintaining physiological homeostasis as well as ensuring proper growth and development and enhancing long-term fitness.</p> <p>2. An alternative hypothesis is that lizards also actively regulate their UV exposure. In this scenario, UV needs may even override temperature needs (or vice versa), generating asymmetries in the ability of a lizard to regulate both conditions equally. We test this hypothesis using field and laboratory data collected on adult <em>Sceloporus undulatus</em>.</p> <p>3. We found that <em>S. undulatus</em> actively regulate UV exposure and prioritize UV over temperature, favoring body temperatures much higher than preferred values to sustain preferred UV exposure. In stark contrast, temperature had no reciprocal impact on UV regulation behavior. Our field data support these patterns, suggesting that lizards may even seek out hotter environments despite thermal costs to enhance UV exposure.</p> <p>4. We conclude that <em>S. undulatus</em> actively regulate for UV as well as temperature. Unfortunately, outside of zoos and private hobbyists, appreciation of the importance of UV for ectotherm survival and reproductive success has been minimal. Addressing this deficit will therefore be vital to improve our understanding of the factors shaping the evolution of ectotherm photoregulation behavior in nature.</p>
Foraging behaviour data for sympatric Ateles geoffroyi, Alouatta palliata, and Cebus imitator
<p><span>Senses form the interface between animals and environments, and their form and function provide a window into the ecology of past and present species. However, research on the senses used during foraging (e.g. smell, vision, touch, taste) by wild terrestrial frugivores is sparse. Here, we combine 26,094 fruit foraging sequences recorded from three wild, sympatric primates (<em>Cebus imitator, Ateles geoffroyi, Alouatta palliata</em>) with data on within- and between-species variation in colour vision, olfaction, taste, and hand anatomy. We hypothesize that dietary and sensory specialization shape foraging behaviours. We find that frugivorous spider monkeys (<em>Ateles geoffroyi</em>) sniff fruits most often, that omnivorous capuchins (<em>Cebus imitator</em>), the species with the highest measure of manual dexterity, uses manual touch most often, and that main olfactory bulb volume is a better predictor of sniffing behaviour than nasal turbinate surface area. We also identify an interaction between colour vision phenotype and use of other senses. Controlling for species, dichromats sniff and bite fruits more often than trichromats, and trichromats use manual touch to evaluate cryptic fruits more often than dichromats. Our findings help reveal how dietary specialization and sensory variation shape foraging behaviours, and inform methods for investigating relationships between behaviour and anatomy.</span></p>
Data and models for "Modelling human behaviour in cognitive tasks with latent dynamical systems"
<p>Ebb and Flow gameplay data and trained model parameters for:</p> <p>Jaffe, P.I., Poldrack, R.A., Schafer, R.J. & Bissett, P.G.<em> </em>Modelling human behaviour in cognitive tasks with latent dynamical systems. <em>Nat Hum Behav</em> (2023). https://doi.org/10.1038/s41562-022-01510-8 </p> <p>Ebb and Flow is a task-switching game offered as a part of the Lumosity cognitive training platform (Lumos Labs, Inc.). The data and model parameters are organized by participant/model in individual archived directories (140 participants; 245 models). Within each model directory, “data_pre_split.pickle” contains the raw Ebb and Flow data. The processed model inputs for the training, validation, and holdout/test splits are contained in the files "train_model_inputs.pt", "val_model_inputs.pt", and "test_model_inputs.pt", respectively. Other metadata associated with each split is contained in "train_other_data.pkl", "val_other_data.pkl", and "test_other_data.pkl". The parameters from the trained model are stored in “model_params.pth”. Some intermediate analysis products are contained in the subfolder “model_analysis”.</p> <p>Metadata for all models can be found in “model_metadata.csv”. The metadata field “switch_cost_type” identifies models that were trained on data with (sc+) or without (sc-) a switch cost (note that models marked “NA”, except for the optimal models, were also trained on data with a switch cost but were not included in the paired comparison of the sc+ and sc- models; see manuscript for details). The "exgauss" field identifies models that were trained with an exGaussian response template (coded as "exgauss+"); models identified as "exgauss-" were trained with a Gaussian kernel and were used in paired comparisons with the exgauss+ models. The "early" field identifies models that were trained with early-stage practice data if set to TRUE. The "optimal" field identifies models that were trained to perform the task optimally if set to TRUE. The other metadata fields are self-explanatory.</p> <h2><strong>Fast command line download instructions (macOS/linux) </strong></h2> <p>For help downloading on Windows, see <a href="https://github.com/dvolgyes/zenodo_get">https://github.com/dvolgyes/zenodo_get</a>.<strong><br></strong></p> <p>1) Copy and save the complete list of files below to a text file, e.g. "files.txt". Save it to the same directory you would like to save the data to. </p> <p>2) Install parallel if it's not already installed:</p> <pre><code>sudo apt-get install parallel</code></pre> <p>3) Run the following from the directory with files.txt (all data will be saved here). The flag -jN will create N parallel wget instances to download the files, e.g.:</p> <pre><code>cat files_test.txt | parallel -j8 wget {}</code></pre> <p>4) Unzip the files and cleanup:</p> <pre><code>unzip "*.zip" rm *.zip files.txt</code></pre> <h2><strong>List of files</strong></h2> <p>https://zenodo.org/records/7102065/files/ages80to89_u4120_exgauss.zip<br>https://zenodo.org/records/7102065/files/optimal_square9.zip<br>https://zenodo.org/records/7102065/files/optimal_square8.zip<br>https://zenodo.org/records/7102065/files/optimal_square7.zip<br>https://zenodo.org/records/7102065/files/optimal_square6.zip<br>https://zenodo.org/records/7102065/files/optimal_square5.zip<br>https://zenodo.org/records/7102065/files/optimal_square4.zip<br>https://zenodo.org/records/7102065/files/optimal_square3.zip<br>https://zenodo.org/records/7102065/files/optimal_square2.zip<br>https://zenodo.org/records/7102065/files/optimal_square1.zip<br>https://zenodo.org/records/7102065/files/optimal_square10.zip<br>https://zenodo.org/records/7102065/files/model_metadata.csv<br>https://zenodo.org/records/7102065/files/ages80to89_u5484_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u5484_early.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u5441_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u5441_early.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u5150_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u5121_expt2.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u5121_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u5121_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u5121_early.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u4928_expt2.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u4928_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u4760_expt2.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u4760_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u4760_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u4532_expt2.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u4532_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u4278_expt2.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u4278_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u4239_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u4122_expt2.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u4122_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u4120_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u3701_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u3667_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u3667_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u2831_expt2.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u2831_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u1887_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u1459_expt2.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u1459_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u1447_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u1441_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u1441_early.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u1427_expt2.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u1427_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u1427_early.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u1172_expt2.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u1172_expt1.zip<br>https://zenodo.org/records/7102065/files/ages80to89_u1172_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u975_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u96_expt2.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u96_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u910_expt2.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u910_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u910_early.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u4913_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u4913_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u4913_early.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u4876_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u4876_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u4864_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u4172_expt2.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u4172_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u3898_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u384_expt2.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u384_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u3694_expt2.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u3694_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u3694_early.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u3538_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u3509_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u3509_early.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u3457_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u3457_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u3218_expt2.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u3218_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u3143_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u3143_early.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u2266_expt2.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u2266_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u21_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u2141_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u2141_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u2022_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u1276_expt1.zip<br>https://zenodo.org/records/7102065/files/ages70to79_u1276_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u627_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u5459_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u5459_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u5069_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u5069_early.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u4993_expt2.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u4993_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u4964_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u4852_expt2.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u4852_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u478_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u438_expt2.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u438_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u438_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u388_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u388_early.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u3724_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u3724_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u3469_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u3461_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u3461_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u3461_early.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u3328_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u3328_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u3066_expt2.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u3066_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u268_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u2490_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u2186_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u2186_early.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u1597_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u1597_early.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u3969_expt1.zip<br>https://zenodo.org/records/7102065/files/ages60to69_u1194_expt1.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u697_expt1.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u697_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u697_early.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u5128_expt1.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u5128_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u4609_expt1.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u452_expt2.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u452_expt1.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u4220_expt1.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u4150_expt1.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u4107_expt1.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u3536_expt1.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u3316_expt1.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u3316_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u3199_expt1.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u3195_expt1.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u2584_expt1.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u2584_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages50to59_u2347_expt1.zip<br>https://zenodo.org/records/7102065/files/ages50to5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ps://zenodo.org/records/7102065/files/ages30to39_u1387_expt1.zip<br>https://zenodo.org/records/7102065/files/ages30to39_u1248_expt1.zip<br>https://zenodo.org/records/7102065/files/ages30to39_u1248_early.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u953_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u953_early.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u890_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u5396_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u5326_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u4587_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u4587_early.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u4504_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u4504_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u4394_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u4394_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u3975_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u3975_early.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u3750_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u367_expt1.zip<br>https://zenodo.org/records/7102065/files/ages30to39_u3365_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u3257_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u3257_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u3139_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u2809_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u2360_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u224_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u1559_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u1474_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u1444_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u1259_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u1259_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u1259_early.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u1076_expt1.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u1076_exgauss.zip<br>https://zenodo.org/records/7102065/files/ages20to29_u1076_early.zip</p> <p> </p>
Data and R script for 'Early-life begging effort reduces adult body mass but strengthens behavioural defence of the rate of energy intake in European starlings (Sturnus vulgaris)'
<p>Data files and R script for Dunn et al. "Early-life begging effort reduces adult body mass but strengthens behavioural defence of the rate of energy intake in European starlings (<em>Sturnus vulgaris</em>)"</p> <p>Includes a single R script that produces all the analyses in the paper. The script makes use of three different .csv data files.</p>
Data and code for: a behavioural and microbiological study of wound care in Camponotus floridanus
<p><span>Open wounds pose a major infection and mortality risk in animals. To reduce these risks, many animal species apply antimicrobial compounds on their wounds.<sup> </sup>Ant societies use antimicrobial secretions from the metapleural gland to combat pathogens<sup> </sup>but this gland has been lost over evolutionary time in several genera including <em>Camponotus</em>. Using behavioral and microbiological experiments, we studied how <em>Camponotus floridanus</em> handles infected wounds without the use of antimicrobial secretions. When we experimentally injured a worker's leg at the femur, nestmates amputated the injured limb by biting the base (trochanter) of the leg until it was severed, thereby significantly increasing survival compared to ants that did not receive amputations. However, when the experimental injury was more distal (at the tibia), nestmates did not amputate the leg and instead directed more wound care to the injury site. Experimental amputations also failed to improve survival in ants with infected tibia injuries unless the leg was amputated immediately after pathogen exposure. Micro CT-scans revealed that the muscles likely responsible for leg hemolymph circulation are predominantly in the femur. Thus, it is likely that femur injuries, by attenuating hemolymph flow, provide sufficient time for workers to perform amputations before pathogen spread. Overall, this study provides the first example of the use of amputations to treat infected individuals in a non-human animal and demonstrates that ants can adapt their type of treatment depending on the location of wounds.</span></p>
Data for "High-temperature low-cycle fatigue and fatigue-creep behaviour of Inconel 718 superalloy: Damage and deformation mechanisms"
<p>Title of dataset: Data for "High-temperature low-cycle fatigue and fatigue-creep behaviour of Inconel 718 superalloy: Damage and deformation mechanisms"<br>Name/institution/contact information: Dr. Michal Bartošák, Czech Technical University in Prague - Faculty of Mechanical Engineering, email: michal.bartosak@fs.cvut.cz<br>Date of data collection: The data were collected from the start of 2021 to the end of 2023.<br>File name structure: The data within the folder "SEM" are images of microstructural observations of selected specimens. The data within the folder "FATIGUE_LIFE" include the fatigue lifetimes, as well as the stress and strain amplitudes at mid-life, of all investigated specimens.</p> <p>See https://doi.org/10.1016/j.ijfatigue.2024.108369 for the associated article and a detailed description of the methods.</p>
SSRA and Human Behaviour Study - Associated Raw Data and Scripts
<p>We are releasing the final version of this dataset containing source data and scripts for a paper concerning an SSRA drug and human behaviour.</p> <p>V4 -> V5 - Fixed minor issues following editorial feedback.</p> <p>For any questions, please contain Michael Colwell (michaelcolwell92@gmail.com / michael.colwell@psych.ox.ac.uk).</p>
Data supplement to: "Refractory depression - Mechanisms & Efficacy of Radically Open Dialectical Behaviour Therapy (RefraMED): findings of randomised trial on benefits and harms"
<p>Data and code to support primary analyses reported in "Refractory depression – mechanisms and efficacy of radically open dialectical behaviour therapy (RefraMED): findings of a randomised trial on benefits and harms". British Journal of Psychiatry. doi: 10.1192/bjp.2019.53</p>
Data from: Phytophthora zoospores display klinokinetic behaviour in response to a chemoattractant
<p>Data belonging to the manuscript Phytophthora zoospores display klinokinetic behaviour in response to a chemoattractant</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.