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6,861 results for “Animals”

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dryad36/100

Including a spatial predictive process in band recovery models improves inference for Lincoln estimates of animal abundance

<p>Abundance estimation is a critical component of conservation planning, particularly for exploited species where managers set regulations to restrict harvest based on current population size. An increasingly common approach for abundance estimation is through integrated population modeling (IPM), which uses multiple data sources in a joint likelihood to estimate abundance and additional demographic parameters. Lincoln estimators are one commonly used IPM component for harvested species, which combine information on the rate and the total number of individuals harvested within an integrated band-recovery framework to estimate abundance at large scales.</p> <p>A major assumption of the Lincoln estimator is that banding and recoveries are representative of the whole population, which may be violated if major sources of spatial heterogeneity in survival or harvest rates are not incorporated into the model. We developed an approach to account for spatial variation in harvest rates using a spatial predictive process, which we incorporated into a Lincoln estimator IPM.</p> <p>We simulated data under different configurations of sample sizes, harvest rates, and sources of spatial heterogeneity in harvest rate to assess potential model bias in parameter estimates.  We then applied the model to data collected from a field study of wild turkeys (<em>Meleagris gallapavo</em>) to estimate local and statewide abundance in Maine, USA.</p> <p>We found that the band recovery model that incorporated a spatial predictive process consistently provided estimates of adult and juvenile abundance with low bias across a variety of spatial configurations of harvest rate and sampling intensities. When applied to data collected on wild turkeys, a model that did not incorporate spatial heterogeneity underestimated the harvest rate in some sub-regions.  Consistent with simulation results, this led to over-estimation of both local and statewide abundance.</p> <p>Our work demonstrates that a spatial predictive process is a viable mechanism to account for spatial variation in harvest rates and limit bias in abundance estimates. This approach could be extended to large-scale band recovery datasets and has applicability for the estimation of population parameters in other ecological models as well.</p>

opencc-zeroNov 2022View details →
zenodo36/100

EU FAR Project: animation presentation

<p>Animation presentation of the EU FAR project, English version.</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Animal mentions in the travel accounts of Guillebert de Lannoy, Bertrandon de la Broquière, Anselm Adornes and Joos van Ghistele

<p>Dataset of all animals mentioned in the travel accounts of Joos van Ghistele, Guillebert de Lannoy, Anselm Adornes and Bertrandon de la Broqui&egrave;re.</p> <p>This dataset was used to research the topic of animal depictions and attitudes towards animals in late medieval travel accounts. The dataset forms the basis of a (Dutch) Master&rsquo;s thesis at Ghent University in 2020, which can be downloaded from (<a href="https://lib.ugent.be/catalog/rug01:002862696">https://lib.ugent.be/catalog/rug01:002862696</a>) and the following article in Reinardus: Yearbook of the International Reynard Society: Temmerman, Thijs, and Jeroen Deploige. &lsquo;Prius Invisa Animalia : Attitudes towards Animals in Late Medieval Travel Accounts&rsquo;. <em>Reinardus</em> 35 (2023): 163-90. <a href="https://doi.org/10.1075/rein.00074.tem">https://doi.org/10.1075/rein.00074.tem</a>.</p> <p>The page numbers refer to the pages in the following editions of the travel accounts:</p> <ul> <li> <p>Bertrandon de la Broqui&egrave;re. <em>Le voyage d&rsquo;outremer de Bertrandon de La Broqui&egrave;re, premier &eacute;cuyer tranchant et conseiller de Philippe le Bon, duc de Bourgogne</em>. Edited by Charles Schefer. Paris: Ernest Leroux, 1892. Can be consulted online on&nbsp;<a href="https://gallica.bnf.fr/ark:/12148/bpt6k1037921">https://gallica.bnf.fr/ark:/12148/bpt6k1037921</a></p> </li> <li> <p>Ghillebert de Lannoy. <em>Oeuvres de Ghillebert de Lannoy, voyageur, diplomate et moraliste</em>. Edited by Charles Potvin. Leuven: Imprimerie de P. et J. Lefever, 1878. Can be consulted online on <a href="https://gallica.bnf.fr/ark:/12148/bpt6k102047r">https://gallica.bnf.fr/ark:/12148/bpt6k102047r</a></p> </li> <li> <p>Adorno, Jean. <em>Itin&eacute;raire d&rsquo;Anselme Adorno en Terre sainte: 1470-1471</em>. Edited by Jacques Heers and Georgette de Groer. Sources d&rsquo;histoire m&eacute;di&eacute;vale. Paris: &Eacute;ditions du Centre national de la recherche scientifique, 1978. <a href="https://www.worldcat.org/title/itineraire-danselme-adorno-en-terre-sainte-1470-1471/oclc/248218555">https://www.worldcat.org/title/itineraire-danselme-adorno-en-terre-sainte-1470-1471/oclc/248218555</a></p> </li> <li> <p>Zeebout, Ambrosius. <em>Tvoyage van Mher Joos van Ghistele</em>. Edited by R. J. G. A. A. Gaspar. Hilversum: Verloren, 1998. Can be consulted online on <a href="https://www.dbnl.org/tekst/zeeb002tvoy01_01/index.php">https://www.dbnl.org/tekst/zeeb002tvoy01_01/index.php</a></p> </li> </ul> <p>The following information can be found in the animal index</p> <p>&ndash; The referenced source edition: JVG (Joos van Ghistele), AA (Anselm Adornes), BDLB (Bertrandon de la Broqui&egrave;re) or GDL (Guillebert de Lannoy).</p> <p>&ndash; Animal name: the modern English common name of the mentioned animal.</p> <p>&ndash; Page: the page number in the source edition.</p> <p>&ndash; Original name: the name given by the author to the animal and the original source fragment.</p> <p>&ndash; Location of the animal: the location (city, country, &hellip;) of the referenced animal, sometimes unidentified.</p> <p>&ndash; Observed by the writer? Did the writer encounter this animal himself: yes, no or maybe.</p> <p>&ndash; Referring to another source? Do the fragment and the information about the animal originate from a source outside the author&rsquo;s observation? These can be oral or written sources.</p> <p>Questions or remarks can be sent to thijs.temmerman@gmail.com</p>

opencc-by-4.0Nov 2021View details →
dryad36/100

Data from: Evolutionary loss of complexity in animal signals: cause and consequence

<p>We identified hypotheses for the cause and consequences of the loss of complexity in animal signals and tested these using a genus of visually communicating lizards, the South-east Asian Draco lizards. Males of some species have lost the headbob component from their display, which is otherwise central to the communication of this genus. These males instead display a large, colourful dewlap to defend territories and attract mates. This dewlap initially evolved to augment the headbob component of the display, but has become the exclusive system of communication. We tested whether the loss of headbobs was caused by relaxed selection, habitat-dependent constraints, or size-specific energetic constraints on display movement. We then examined whether the consequences of this loss have been mitigated by increased signalling effort or complexity in the colour of the dewlap. It appears the increased cost of display movement resulting from the evolution of large body size might have contributed to the loss of headbobs and has been somewhat compensated for by the evolution of greater complexity in dewlap colour. However, this evolutionary shift is unlikely to have maintained the complexity previously present in the communication system, resulting in an apparent detrimental loss of information potential.</p>

opencc-zeroDec 2022View details →
zenodo36/100

WMO Polar Prediction Project: Year Of Polar Prediction Animation

<p>This 5 minute animated video</p> <p>The Year of Polar Prediction (YOPP) - from research to improved environmental safety. This video explains the background, methods and aims of the Year of Polar Prediction. www.polarprediction.net Thank you to the translators: Marta Terrado (Barcelona Supercomputing Center) for the Spanish Subtitles, Luisa Cristini (Alfred Wegener Institute) for the Italian Subtitles, Juhyeong Han (World Meteorological Organization) for the Korean Subtitles, Matthieu Chevallier (M&eacute;t&eacute;o France) for the French Subtitles.</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Animal population data complementing the European Union One Health 2021 Zoonoses Report

<p>This dataset includes animal population aggregated data under the framework of Directive 2003/99/EC.</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Animal disease data complementing the European Union One Health 2021 Zoonoses Report

<p>This dataset contains the mandatory annual data reported for bovine tuberculosis and for bovine and ovine and caprine brucellosis based on Directive 2003/99.</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Describing and mapping of the main existing structures and systematic initiatives and academic activities for surveillance in the EU for zoonoses (transboundary, emerging and re-emerging) in domestic animals and wildlife

<p>These annexes refer to a report which describes and maps the main existing structures and systematic initiatives and academic activities for surveillance in the EU for transboundary, emerging and re-emerging zoonoses in domestic animals, wildlife, and the environment, developed by the different sectors, namely human, domestic animal, wildlife and environmental, under One Health approach. This is essential to provide scientific and technical advice and improve future schemes of surveillance. A questionnaire was compiled by MSs and the information collected was complemented by literature reviews about (i) the main existing structures and systematic initiatives or activities, and (ii) academic activities for surveillance in the EU for zoonoses in domestic animals and wildlife. The annexes to the report are as follows:</p> <p>Annex 1. Questionnaire survey on official zoonotic disease surveillance activities in the EU and neighbouring countries.</p> <p>-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Sheet 1: PART 1 &ndash; Surveillance. This part explores the general organization of the surveillance plan</p> <p>-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Sheet 2: PART 2 &ndash; Pathogens. This part aims to identify target pathogen and species and methods for surveillance</p> <p>Annex 2. Characteristic of surveillance plans.</p> <p>-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Sheet &ldquo;Pathogens&rdquo;, where not primary but also a wide range of hosts are summarized.</p> <p>-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Sheet &ldquo;active/passive surveillance&rdquo; by country</p> <p>-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Sheet &ldquo;origin of funding&rdquo; (the proportion and number) of surveillance plans</p> <p>Annex 3. More detailed distribution of active and passive surveillance planaccording to countries and pathogen is presented in this Annex.</p> <p>Annex 4. Standardized data model (to extract key information to characterize the surveillance systems in the literature review on systematic surveillance. The data model was divided into two parts:</p> <p>-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Sheet 1: PART 1 &ndash; Surveillance system (explores the general organization)</p> <p>-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Sheet 2: PART 2 &ndash; Pathogens (identifies the target pathogen, species, and methods)</p> <p>Annex 5. Standardized data model used during the literature review to extract key information to characterize the surveillance performed by the academia</p>

opencc-by-4.0Dec 2022View details →
dryad36/100

Data for: Plant roots fuel tropical soil animal communities

<p>Belowground life relies on plant litter, while its linkage to living roots had long been understudied, and remains unknown in the tropics. Here, we analysed the response of 30 soil animal groups to root trenching and litter removal in rainforest and plantations in Sumatra, and found that roots are similarly important to soil fauna as litter. Trenching effects were stronger in soil than in litter, with an overall decrease in animal abundance in rainforest by 42% and in plantations by 30%. Litter removal little affected animals in soil layers, but decreased the total abundance by 60% in rainforest and rubber plantations but not in oil palm plantations. Litter and root effects on animal group abundances were explained by body size or vertical distribution. Our study quantifies principle carbon pathways in soil food webs under tropical land use, providing the basis for mechanistic modelling and ecosystem-friendly management of tropical soils.</p>

opencc-zeroDec 2022View details →
dryad36/100

Biases and distribution patterns in hard-bodied microscopic animals (Acari: Halacaridae): Size doesn't matter, but generalism and sampling effort do

<span>Aim</span> <p><span>The interplay between distribution ranges, species traits, and sampling and taxonomic biases remain elusive amongst microscopic animals. This ignorance obscures our understanding of the diversity patterns of a major component of biodiversity. Here, we used marine Halacaridae to explore whether differences between marine provinces can explain their distribution patterns or if differential sampling efforts across regions prevent any macroecological inference. Furthermore, we test if certain functional traits influence their distribution patterns.</span></p> <span>Location</span> <p><span>Europe.</span></p> <span>Results</span> <p><span>Whereas geographical variables provided a better explanation for differences in species composition, sampling effort and distance from marine biological stations accounted for the majority of differences in European Halacaridae richness. Species occurring in more habitats showed broader geographical ranges and accumulated more records. Species traits like body size affected the distribution of halacarid species.</span></p> <span>Main conclusions</span> <p><span>We propose that the sampling effort of halacarid mites in Europe might be explained by two different cognitive biases: the convenience of selecting certain sampling localities compared to others, and the tendency of zoologists to scrutinize habitats where their target organisms are more common.</span></p>

opencc-zeroJan 2023View details →
zenodo36/100

Are Nonhuman Animals Averse to Inequity? A Meta-Analysis [Code and Data]

<p>Code and (anonymized) data for the manuscript &quot;Are Nonhuman Animals Averse to Inequity? A Meta-Analysis&quot;</p>

opencc-by-4.0Jan 2023View details →
dryad36/100

Data and code for: Feeding, mating, and animal wellbeing: New insights from Phylogenetic Comparative Methods

<p class="MsoNormal">Some species tend to thrive in captivity, while others risk health and reproductive problems. This enables the use of P<span>hylogenetic Comparative Methods (PCMs) </span>to identify aspects of natural biology that predispose species to faring poorly or well. Risk factors can then suggest new ways to improve animal care. A steady trickle of studies has applied PCMs to animal welfare over the last two decades, Lewis et al. (1) <span>providing the latest. Here we contextualise this new work and suggest further research it might inspire.</span></p> <p class="MsoNormal"><span>Provided here are the data and R code for Figure 1 provided in a commentary on: (1) Lewis, K., M.O. Parker, L. Proops, and S.D. McBride, <em>Risk factors for stereotypic behaviour in captive ungulates</em>. Proceedings of the Royal Society B: Biological Sciences, 2022. 289(1983): p. 20221311.</span></p>

opencc-zeroFeb 2023View details →
dryad36/100

Fijian sea krait behavior relates to fine‐scale environmental heterogeneity in old‐growth coastal forest: The importance of integrated land–sea management for protecting amphibious animals

<p><span>Here the data for "Fijian sea krait behaviour relates to fine-scale environmental heterogeneity in old growth forest: the importance of integrated land-sea management for protecting amphibious animals" by</span><span> Lowe, C., Keppel, G., Waqa, K., Peters, S., Fisher, R.N., Scanlon, A., Osborne-Naikatini, T, and Thomas-Moko, N </span><span> is provided. This article investigates the habitat of </span>Yellow Lipped Sea Kraits, <em>Laticauda</em> <em>colubrina</em>, in the terrestrial realm on Leluvia Island, a small, topographically flat atoll in Fiji with coastal forest. The investigation uses concurrent microclimate measurements and behaviour surveys, as well as vegetation surveys, and the data collected for these analyses are provided here. Microclimates were significantly related to canopy cover, leaf litter depth, and distance from the high-water mark (HWM). Sea kraits were almost exclusively observed in coastal forest within 30 m of the HWM. Sloughing of skins only occurred within crevices of mature or dying trees. Resting <em>L</em>. <em>colubrina</em> were significantly more likely to occur at locations with higher mean diurnal temperatures, lower leaf litter depths, and shorter distances from the HWM. On Leleuvia, behaviour of <em>L</em>. <em>colubrina</em> therefore relates to environmental heterogeneity created by old-growth coastal forests, particularly canopy cover and crevices in mature and dead tree trunks. The importance of healthy coastal habitats, both terrestrial and marine, for <em>L</em>. <em>colubrina</em> suggests it could be a good flagship species for advocating integrated land-sea management. Furthermore, our study highlights the importance of coastal forests and topographically flat atolls for biodiversity conservation. Effective conservation management of amphibious species that utilise land- and seascapes is therefore likely to require a holistic approach that incorporates connectivity among ecosystems and environmental heterogeneity at all relevant scales.</p>

opencc-zeroFeb 2023View details →
dryad36/100

Literature compilation for: The rise of animal biotelemetry and genetics research data integration

<p><span>The advancement and availability of innovative animal biotelemetry and genomic technologies are improving our understanding of how the movements of individuals influence gene flow within and between populations and ultimately drive evolutionary and ecological processes. There is a growing body of work that is integrating what were once disparate fields of biology, and here we reviewed the published literature up until January 2023 (139 papers) to better understand the drivers of this research and how it is improving our knowledge of animal biology. The review showed that the predominant drivers for this research were: i) understanding how individual-based movements affect animal populations, ii) analyzing the relationship between genetic relatedness and social structuring, and iii) studying how the landscape affects the flow of genes, and how this is impacted by environmental change. However, there was a divergence between taxa as to the most prevalent research aim, and the methodologies applied. We also found that after 2010 there was an increase in studies that integrated the two data types using innovative statistical techniques instead of analyzing the data independently using traditional statistics from the respective fields. This new approach greatly improved our understanding of the link between </span><span>the individual, the population, and the environment and is being used to better conserve and manage species. We discuss the challenges and limitations, as well as the potential for growth and diversification of this research approach. The paper provides a guide for researchers who wish to consider applying these disparate disciplines and advancing the field.</span></p>

opencc-zeroFeb 2023View details →
zenodo36/100

Supplementary animations for "Simulations of multi-field ultralight axion-like dark matter"

<p>Animations to supplement figures in &quot;<a href="https://doi.org/10.48550/arXiv.2302.04302">Simulations of multi-field ultralight axion-like dark matter</a>&quot;, available at <a href="https://arxiv.org/abs/2302.04302">arxiv:2302.04302</a> or <a href="https://doi.org/10.1103/PhysRevD.107.063520">https://doi.org/10.1103/PhysRevD.107.063520</a>.</p>

opencc-by-nc-nd-4.0Feb 2023View details →
zenodo36/100

Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Portugal

<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection:&nbsp;Instituto Nacional de Investiga&ccedil;&atilde;o Agr&aacute;ria e Veterin&aacute;ria</p>

opencc-by-4.0Mar 2023View details →
zenodo36/100

Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Sweden

<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods, as well as the voluntary reporting of and Whole Genome Sequencing (WGS) data&nbsp;are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection:&nbsp;National Veterinary Institute, Swedish Zoonosis Centre</p>

opencc-by-4.0Mar 2023View details →
zenodo36/100

Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Poland

<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods, as well as the voluntary reporting of and Whole Genome Sequencing (WGS) data&nbsp;are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection:&nbsp;National Veterinary Research Institute</p>

opencc-by-4.0Mar 2023View details →
zenodo36/100

2021aggregated dataset submitted on the negative results for extended-spectrum b-lactamase(ESBL) and the carbapenemase-producers - complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food 2020/2021

<p>Data&nbsp;provided by the Member States on the&nbsp;2021&nbsp;on the negative results for extended-spectrum b-lactamase(ESBL) and the carbapenemase-producers - complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food 2020/2021.</p>

opencc-by-4.0Mar 2023View details →
zenodo36/100

Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – The Netherlands

<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection:&nbsp;Netherlands Food and Consumer Product Safety Authority</p>

opencc-by-4.0Mar 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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