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6,861 results for “Animations”
Linked collectors and determiners for: Invertebrata Collection of Institute of Systematics and Evolution of Animals.
Natural history specimen data linked to collectors and determiners held within, "Invertebrata Collection of Institute of Systematics and Evolution of Animals". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/eca72f80-3330-11de-8db7-b8a03c50a862">https://bionomia.net/dataset/eca72f80-3330-11de-8db7-b8a03c50a862</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/eca72f80-3330-11de-8db7-b8a03c50a862">https://gbif.org/dataset/eca72f80-3330-11de-8db7-b8a03c50a862</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Aves Collection of Institute of Systematics and Evolution of Animals.
Natural history specimen data linked to collectors and determiners held within, "Aves Collection of Institute of Systematics and Evolution of Animals". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/c1b0f4a0-3330-11de-8db7-b8a03c50a862">https://bionomia.net/dataset/c1b0f4a0-3330-11de-8db7-b8a03c50a862</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/c1b0f4a0-3330-11de-8db7-b8a03c50a862">https://gbif.org/dataset/c1b0f4a0-3330-11de-8db7-b8a03c50a862</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Colección del Departamento de Biología Animal (Zoología) de la Universidad de La Laguna.
Natural history specimen data linked to collectors and determiners held within, "Colección del Departamento de Biología Animal (Zoología) de la Universidad de La Laguna". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/96209bd4-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/96209bd4-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/96209bd4-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/96209bd4-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Animal observations.
Natural history specimen data linked to collectors and determiners held within, "Animal observations". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/84f4df14-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/84f4df14-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/84f4df14-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/84f4df14-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Mammalia Collection of Institute of Systematics and Evolution of Animals.
Natural history specimen data linked to collectors and determiners held within, "Mammalia Collection of Institute of Systematics and Evolution of Animals". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/1933e8e0-3331-11de-8db8-b8a03c50a862">https://bionomia.net/dataset/1933e8e0-3331-11de-8db8-b8a03c50a862</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/1933e8e0-3331-11de-8db8-b8a03c50a862">https://gbif.org/dataset/1933e8e0-3331-11de-8db8-b8a03c50a862</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Caracterización de la Biodiversidad Microbiológica y de Invertebrados de la Reserva Marina "El Pelado" a escala Taxonómica, Metabolómica y Meta genómica para su uso en salud humana y animal.
Natural history specimen data linked to collectors and determiners held within, "Caracterización de la Biodiversidad Microbiológica y de Invertebrados de la Reserva Marina "El Pelado" a escala Taxonómica, Metabolómica y Meta genómica para su uso en salud humana y animal". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/7d0cf7e0-8458-4cfd-a927-f1d4f88dbba8">https://bionomia.net/dataset/7d0cf7e0-8458-4cfd-a927-f1d4f88dbba8</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/7d0cf7e0-8458-4cfd-a927-f1d4f88dbba8">https://gbif.org/dataset/7d0cf7e0-8458-4cfd-a927-f1d4f88dbba8</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Colección de Microorganismos de interés en Salud Animal Bacterias-Virus - AGROSAVIA.
Natural history specimen data linked to collectors and determiners held within, "Colección de Microorganismos de interés en Salud Animal Bacterias-Virus - AGROSAVIA". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/a76afee5-56f7-4ccd-a359-c7c55956d9fc">https://bionomia.net/dataset/a76afee5-56f7-4ccd-a359-c7c55956d9fc</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/a76afee5-56f7-4ccd-a359-c7c55956d9fc">https://gbif.org/dataset/a76afee5-56f7-4ccd-a359-c7c55956d9fc</a>. Formatted as a Frictionless Data package.
Animal and microclimate data of AGROMIX WP3 pilot site trial at Tenuta di Paganico (GR) Italy - (2021 and 2022)
<p>Datasets of collected data on (i) animal weight and average daily gain, (ii) hair cortisol, (iii) blood glucose (iv) and black globe humidity index during the trial conducted in Spring and summer 2021 and 2022 at the AGROMIX trial site of Tenuta di Paganico (GR), Italy.</p>
The data for Non-Dikarya fungi share the TORC1 pathway with animals, not with yeasts
<p>This dataset provides all the raw data used in the<strong> Non-Dikarya fungi share the TORC1 pathway with animals, not with yeasts </strong>manuscript including:</p> <p><strong>Supplementary file S1<br></strong></p> <p>All protein identifiers, genomic assemblies, transcriptomic datasets </p> <p><strong>Supplementary file S2<br></strong></p> <p>The figures of phylogenetic trees for TORC1 proteins.</p> <p><strong>Supplementary Dataset SD1.</strong></p> <p>The phylogenetic trees for TORC1 proteins</p> <p><strong>HMM profiles</strong> for EGO1 EGO2 EGO3 and Tco89 proteins</p> <p>This work was supported by National Science Centre grants (#2021/41/B/NZ2/02426 to A.M.)</p>
Data from: Koe: Web-based software to classify acoustic units and analyse sequence structure in animal vocalisations
<p>1. Classifying acoustic units is often a key step in studying repertoires and sequence structure in animal communication. Manual classification by eye and ear remains the primary method, but new tools and techniques are urgently needed to expedite the process for large, diverse datasets.</p> <p>2. Here we introduce <i>Koe</i>, an application for classifying and analysing animal vocalisations. <i>Koe</i> offers bulk-labelling of units via interactive ordination plots and unit tables, as well as visualisation and playback, segmentation, measurement, data filtering/exporting and new tools for analysing repertoire and sequence structure—in an integrated environment.</p> <p>3. We demonstrate <i>Koe</i> with a real-world case study of New Zealand bellbird <i>Anthornis melanura</i> songs from an archipelago metapopulation. Having classified 21,500 units in <i>Koe</i>, we compare repertoires and sequence structure between sites and sexes.</p> <p>4. <i>Koe</i> is web-based (koe.io.ac.nz) and easy to use, making it ideal for collaboration, education and citizen science. By enabling large-scale, high-resolution classification and analysis of animal vocalisations, <i>Koe</i> expands the possibilities for bioacoustics research.</p>
Human animal hunting audio dataset
<p>YouTube collected audio samples from human hunting animals, such as Coyotes, Bobcats, Wild Boars.</p> <p>The samples are in MP3 format, having a maximum duration of 3 seconds.</p> <p>The audio was classified by a semi-supervised process using a sound event classification system. </p>
Deep-time convergent evolution in animal communication presented by shared adaptations for coping with noise in lizards and other animals
<p>Convergence in communication appears rare compared to other forms of adaptation. This is puzzling, given communication is acutely dependent on the environment and expected to converge in form when animals communicate in similar habitats. We uncover deep-time convergence in territorial communication between two groups of tropical lizards separated by over 140 million years of evolution: the Southeast Asian Draco and Caribbean Anolis. These groups have repeatedly converged in multiple aspects of display along common environmental gradients. Robot playbacks to free-ranging lizards confirmed the most prominent convergence in display is adaptive, as it improves signal detection. We then provide evidence from a sample of the literature to further show convergent adaptation among highly divergent animal groups is almost certainly widespread in nature. Signal evolution is therefore curbed towards the same set of adaptive solutions, especially when animals are challenged with the problem of communicating effectively in noisy environments.</p>
Why don't all animals avoid inbreeding?
<p class="MsoCommentText"><span><span><span><span><span><span><span><span><span><span><span>Individuals are expected to avoid mating with relatives as inbreeding can reduce offspring fitness, a phenomenon known as inbreeding depression. This has led to the widespread assumption that selection will favour individuals that avoid mating with relatives. However, the strength of inbreeding avoidance is variable across species and there are numerous cases where related mates are not avoided. Here we test if the frequency that related males and females encounter each other explains variation in inbreeding avoidance using phylogenetic meta-analysis of 41 different species from six classes across the animal kingdom. In species reported to mate randomly with respect to relatedness, individuals were either unlikely to encounter relatives, or inbreeding had negligible effects on offspring fitness. Mechanisms for avoiding inbreeding, including active mate choice, post-copulatory processes and sex biased dispersal, were only found in species with inbreeding depression. These results help explain why some species seem to care more about inbreeding than others: inbreeding avoidance through mate choice only evolves when there is both a risk of inbreeding depression and related sexual partners frequently encounter each other. </span></span></span></span></span></span></span></span></span></span></span></p>
FIG 11 in Roman graves and rural rubbish. Animal remains from the Roman cemetery of Halbturn, Austria
FIG 11. – Elements of the skeletons of two dwarf-sized dogs from the vicinity of cremation burial 248. Foto by R. Gold, Institute for Palaeontology.
FIG. 8 in Roman graves and rural rubbish. Animal remains from the Roman cemetery of Halbturn, Austria
FIG. 8. – Cattle: Relative weight distribution (%) of skeletal elements from field and grave ditches and pits, compared to a complete skeleton from the Basle collection.
FIG. 1 in Roman graves and rural rubbish. Animal remains from the Roman cemetery of Halbturn, Austria
FIG. 1. – Roman site of Halbturn: aerial and geomagnetic prospection of settlement, cemetery and field structures, with recent roads and hedges; arrow indicates excavation area with cemetery. Inserts: above – location of site in Western and Central Europe; below – Roman Austria with approximate provincial borders, river Danube and site of Halbturn.
FIG 9 in Roman graves and rural rubbish. Animal remains from the Roman cemetery of Halbturn, Austria
FIG 9. – Cattle, field ditch: schematic distribution of butchery marks; skeletal silhouettes after Helmer (1987).
FIG. 12 in Animal Management, preparation and sacrifice: reconstructing burial 6 at the Moon Pyramid, Teotihuacan, México
FIG. 12. — Model of the life histories of the animals interred in Burial 6 divided into four stages; acquisition, management, preparation and sacrifice and/or deposition. Arrows and letters in grey indicate the zooarchaeological and archaeological indicators of these processes.
FIG. 11 in Animal Management, preparation and sacrifice: reconstructing burial 6 at the Moon Pyramid, Teotihuacan, México
FIG. 11. — Photograph of basket excavated as a block from Burial 6. Arrow indicates the concentration of serpentine remains.
FIG. 10 in Animal Management, preparation and sacrifice: reconstructing burial 6 at the Moon Pyramid, Teotihuacan, México
FIG. 10. — Canid and felid skull preparation methods: A, Element 2194 female wolf 1-2 years old; B, Element 1960 jaguar infant.
ScienceDex guides
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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.