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6,861 results for “Animation”
Supplementary material 1 from: D'Cruze N, Assou D, Coulthard E, Norrey J, Megson D, Macdonald DW, Harrington LA, Ronfot D, Segniagbeto GH, Auliya M (2020) Snake oil and pangolin scales: insights into wild animal use at "Marché des Fétiches" traditional medicine market, Togo. Nature Conservation 39: 45-71. https://doi.org/10.3897/natureconservation.39.47879
Questionnaire
Supplementary material 1 from: Conan A, Fleitz J, Garnier L, Le Brishoual M, Handrich Y, Jumeau J (2022) Effectiveness of wire netting fences to prevent animal access to road infrastructures: an experimental study on small mammals and amphibians. In: Santos S, Grilo C, Shilling F, Bhardwaj M, Papp CR (Eds) Linear Infrastructure Networks with Ecological Solutions. Nature Conservation 47: 271-281. https://doi.org/10.3897/natureconservation.47.71472
Supplementary materials and methods
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – France
<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 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2020 AMR data collection: French Agency for Food, Environmental and Occupational Health & Safety</p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – 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 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2020 AMR data collection: National Veterinary Institute, Swedish Zoonosis Centre</p>
Fig. 2 in Application Of Dna Barcoding In Taxonomy And Phylogeny: An Individual Case Of Coi Partial Gene Sequencing From Seven Animal Species
Fig. 2. Phylogenetic position of E. roumanicus, Bayesian inference phylogenetic tree. Sequences obtained by us are written in bold.
Nonlinear analysis of narwhal dive records (data and animation)
<p><strong>Visualization of nonlinear analysis of narwhal-dive records</strong></p> <p> </p> <p><strong>Video 1:</strong> DepthNarwhal_raw_CWT_2minstep_LowRes.mp4</p> <p>Legend:</p> <p>Animation of original depth readings and corresponding continuous wavelet transforms, CWTs, versus time-delay embedding reconstruction (m = 3, <span class="math-tex">\(\tau\)</span> = 375 s). Upper-left panel shows the raw data, where the largest red circle indicates the current time step, x(t<sub>i</sub>) (with the associated rate of depth change, in m/s), and two smaller red circles the corresponding x(t<sub>i</sub> + <span class="math-tex">\(\tau\)</span>) and x(t<sub>i</sub> + 2<span class="math-tex">\(\tau\)</span>). The tail with decreasing thickness in black corresponds to the final 20 min of data. Lower-left panel shows continuous wavelet transform (CWT) of the data with magnitude by color. The corresponding space–state reconstruction is presented to the right, where the lower-right panel is enlarged for a better display of the “core”. The tail of the preceding 20 min of data is shown in black to aid visual tracking of recent history. The red transparent background is the full embedding result. Video is 3,609 times faster than reality; frame time-step is 2 min.</p> <p> </p> <p><strong>Video 2: </strong>attractor_6h_steps.mp4</p> <p>Legend:</p> <p>State-space reconstruction animated using 6 h time-steps for highlighting long-term variability of narwhal diving behavior.</p> <p> </p> <p><strong>Raw Data file</strong>: Whale3965nodry.csv</p> <p>Narwhal depth readings in m, at 1 sample per second (2013).</p>
Signal lengthening is not a strategy for animals to mitigate noise interference
<p><span>Many species of animals rely on acoustic communication for critical life activities. The efficacy of acoustic communication, however, can be seriously hindered by ambient noise. Although it has been widely reported that signallers modify the structure of their acoustic signals in noise, whether such signal modulations contribute to reducing noise interference is often unclear. Signal duration is a perceptually important parameter that can directly affect signal detection. Here, we address whether signal lengthening is an adaptive strategy for improving acoustic communication in noise, combing results from a meta-analysis, a noise playback experiment, and numerical simulations. The meta-analysis showed that animals from arthropods to mammals showed a mixed pattern of signal duration modifications in response to noise, covering all three possibilities of an increase, a decrease, and no change. The noise playback experiment revealed that noise-induced signal duration modulation was characterized by strong inter-individual variations and correlated positively with signal amplitude, challenging the functional role of signal lengthening in reducing noise interference. Lastly, numerical simulations suggest that experimentally observed signal duration increases in noise disappear when the effect size is considered. We conclude that signal lengthening is not a strategy for animals to mitigate noise interference, despite its wide occurrence. </span></p>
Picture materials of anthropomorphic animals for the use in speech production and perception experiments
<p>These picture materials consist of 10 sets à 4 drawn similar yet slightly different pictures. The picture materials were designed as stimuli for the use in speech production and perception experiments and depict different anthropomorphic animals in curious situations. All pictures are available as JPEG and PNG files.</p>
Animal-borne video systems provide insight into the reproductive behavior of the Asian black bear
<p>Previous studies on the mating system of the Asian black bear (<i>Ursus thibetanus</i>) have been limited to observations of captive populations and estimations of multiple paternities. Hence, the mating system of wild bears remains poorly understood. Animal-borne camera systems (i.e., cameras mounted on animals) provide novel tools to study the behavior of elusive animals. Here, we used an animal-borne video system to record the activities of wild bears during the mating season. Video camera collars were attached to four adult Asian black bears (Male 'A' and 'B', and female 'A' and 'B') captured in Tokyo, central Japan, in May and June 2018. The collars were retrieved in July 2018, after which the video data were downloaded and analyzed in terms of bear activity and mating behavior. All the bears were found to interact with other uniquely identifiable bears for some of the time (range 9–22 days) during the deployment period (range 36–45 days), and multiple mating in males were documented. Both males and females exhibited different behaviors on social days (i.e., days when the bear interacted with conspecifics) compared to solitary days (i.e., days with no observed interactions with conspecifics). Compared to solitary days, the bears spent a lower proportion of time on foraging activities, and higher proportion of time on resting activities on social days. Our results suggest that Asian black bears have a polygamous mating system, as both sexes consort and potentially mate with multiple partners during a given mating season. Furthermore, bears appeared to reduce their foraging activities on social days, and engaged more in social interactions.</p>
FGF gene sequence of Carnivora animals
<p>This is a dataset of Carnivora FGF genes for studying their evolutionary characteristics. The dataset is in the format of fasta, and contains 1186 FGF gene sequence.</p>
Cloning capacity helps seeds of Garcinia xanthochymus counter animal predation
<p>Seed predators have the potential to act as agents of natural selection that influence seed traits and seed fates, which in turn affect the whole plant population dynamic. Accordingly, plants deploy a variety of mechanisms (e.g. resistance and tolerance strategies) to lessen the impact of predation on seed crop or on an individual seed. In this study, we described a novel mechanism, seed cloning strategy, in a tropical plant species in countering animal predation. By conducting field- and laboratory-based germination experiments, we found that both rodent damaged and artificially damaged seed fragments of a large-seeded tree <em>Garcinia xanthochymus</em> (Clusiaceae) could successfully germinate and establish as seedlings. Tissue culture experiments revealed that <em>G. xanthochymus </em>has no endosperm in seeds, and its seed fragments own strong capacity of differentiation and cloning. Seed damage negatively affected seedling growth and germination, but the seed germination rate was remarkably high. Our study suggests that, seed cloning capacity, adopted by the large-seeded tree <em>G. xanthochymus</em> may act as a novel strategy counteract for seed predation, and would play a significant role in stabilizing the mutualism between plant and animals. </p>
Result of Show View Updates to animation without hardware layers
<p>Result of Show View Updates to animation without hardware layers</p>
Supplementary material 1 from: Zidar P, Fišer Ž (2022) Avoidance behaviour toxicity tests should account for animal gregariousness: a case study on the terrestrial isopod Porcellio scaber. In: De Smedt P, Taiti S, Sfenthourakis S, Campos-Filho IS (Eds) Facets of terrestrial isopod biology. ZooKeys 1101: 87-108. https://doi.org/10.3897/zookeys.1101.76711
Table S1–S7
Supplementary material 2 from: Vilizzi L, Piria M, Pietraszewski D, Kopecký O, Špelić I, Radočaj T, Šprem N, Ta KAT, Tarkan AS, Weiperth A, Yoğurtçuoğlu B, Candan O, Herczeg G, Killi N, Lemić D, Szajbert B, Almeida D, Al-Wazzan Z, Atique U, Bakiu R, Chaichana R, Dashinov D, Ferincz Á, Flieller G, Gilles Jr AS, Goulletquer P, Interesova E, Iqbal S, Koyama A, Kristan P, Li S, Lukas J, Moghaddas SD, Monteiro JG, Mumladze L, Olsson KH, Paganelli D, Perdikaris C, Pickholtz R, Preda C, Ristovska M, Švolíková KS, Števove B, Uzunova E, Vardakas L, Verreycken H, Wei H, Zięba G (2022) Development and application of a multilingual electronic decision-support tool for risk screening non-native terrestrial animals under current and future climate conditions. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 211-236. https://doi.org/10.3897/neobiota.76.84268
Combined TAS-ISK report
Supplementary material 1 from: Vilizzi L, Piria M, Pietraszewski D, Kopecký O, Špelić I, Radočaj T, Šprem N, Ta KAT, Tarkan AS, Weiperth A, Yoğurtçuoğlu B, Candan O, Herczeg G, Killi N, Lemić D, Szajbert B, Almeida D, Al-Wazzan Z, Atique U, Bakiu R, Chaichana R, Dashinov D, Ferincz Á, Flieller G, Gilles Jr AS, Goulletquer P, Interesova E, Iqbal S, Koyama A, Kristan P, Li S, Lukas J, Moghaddas SD, Monteiro JG, Mumladze L, Olsson KH, Paganelli D, Perdikaris C, Pickholtz R, Preda C, Ristovska M, Švolíková KS, Števove B, Uzunova E, Vardakas L, Verreycken H, Wei H, Zięba G (2022) Development and application of a multilingual electronic decision-support tool for risk screening non-native terrestrial animals under current and future climate conditions. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 211-236. https://doi.org/10.3897/neobiota.76.84268
Table S1
Animation files for Pengcheng Zhao's PhD thesis
<p>Supplementary materials for Pengcheng Zhao's PhD thesis.</p>
Animations for Pengcheng Zhao's PhD thesis
<p>3 animation files for Pengcheng Zhao's PhD thesis.</p>
Figure 4 from: Kissling WD, Seijmonsbergen AC, Foppen RPB, Bouten W (2017) eEcoLiDAR, eScience infrastructure for ecological applications of LiDAR point clouds: reconstructing the 3D ecosystem structure for animals at regional to continental scales. Research Ideas and Outcomes 3: e14939. https://doi.org/10.3897/rio.3.e14939
Figure 4 - Time table for the eEcoLiDAR project (assuming a start in March 2017). The work plan covers tasks for the NLeSC engineers, the proposed PhD student, and two associated Postdoc projects.
Figure 3 from: Kissling WD, Seijmonsbergen AC, Foppen RPB, Bouten W (2017) eEcoLiDAR, eScience infrastructure for ecological applications of LiDAR point clouds: reconstructing the 3D ecosystem structure for animals at regional to continental scales. Research Ideas and Outcomes 3: e14939. https://doi.org/10.3897/rio.3.e14939
Figure 3 - Example of identifying trees in a forest from LiDAR data. Illustrated is a small plot of poplar trees in Flevoland, The Netherlands, for which tree crowns and tree tops have been calculated.
Figure 2 from: Kissling WD, Seijmonsbergen AC, Foppen RPB, Bouten W (2017) eEcoLiDAR, eScience infrastructure for ecological applications of LiDAR point clouds: reconstructing the 3D ecosystem structure for animals at regional to continental scales. Research Ideas and Outcomes 3: e14939. https://doi.org/10.3897/rio.3.e14939
Figure 2 - Generic workflow for object-based image analysis (OBIA) of LiDAR point clouds and proposed ecological applications. A workbench (blue) will be developed to handle the data storage, data exploration, and interactive OBIA of the massive LiDAR point clouds. Combined with datasets of bird distributions, climate, and other remote sensing layers (orange), the LiDAR data will be applied to several ecological case studies, e.g. by using species distribution modelling of birds and insect pollinators (green).
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.