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6,861 results for “Animation”
Animation of Hohenpeissenberg radar reflectivity cross sections (C-band)
<p>This animation displays radar reflectivity cross sections (dBZ) obtained from range height indicator scans plotted over latitude and for altitudes between 0 km and 10 km in a two-minute interval during a one-hour flight above Southern Germany in the scope of the CIRRUS-HL campaign. Data were provided by the MOHp from the <em>Deutscher Wetterdienst</em> (DWD). The orange vertical line marks the LMU radar station that was overpassed during this flight as well. The gray line marks the HALO-aircraft flight path and the black line HALO’s position one min before the cross section is depicted.</p>
Caution is warranted when using animal space-use and movement to infer behavioral states
<p><strong>Background:</strong> Identifying the behavioral state for wild animals that can't be directly observed is of growing interest to the ecological community. Advances in telemetry technology and statistical methodologies allow researchers to use space-use and movement metrics to infer the underlying, latent, behavioral state of an animal without direct observations. For example, researchers studying ungulate ecology have started using these methods to quantify behaviors related to mating strategies. However, little work has been done to determine if assumed behaviors inferred from movement and space-use patterns correspond to actual behaviors of individuals.</p> <p><strong> Methods:</strong> Using a dataset with male and female white-tailed deer location data, we evaluated the ability of these two methods to correctly identify male-female interaction events (MFIEs). We identified MFIEs using the proximity of their locations in space as indicators of when mating could have occurred. We then tested the ability of utilization distributions (UDs) and hidden Markov models (HMMs) rendered with single sex location data to identify these events.</p> <p><strong> Results:</strong> For white-tailed deer, male and female space-use and movement behavior did not vary consistently when with a potential mate. There was no evidence that a probability contour threshold based on UD volume applied to an individual's UD could be used to identify MFIEs. Additionally, HMMs were unable to identify MFIEs, as single MFIEs were often split across multiple states and the primary state of each MFIE was not consistent across events.</p> <p><strong> Conclusions:</strong> Caution is warranted when interpreting behavioral insights rendered from statistical models applied to location data, particularly when there is no form of validation data. For these models to detect latent behaviors, the individual needs to exhibit a consistently different type of space-use and movement when engaged in the behavior. Unvalidated assumptions about that relationship may lead to incorrect inference about mating strategies or other behaviors.</p>
Data from: A new approach for investigating spatial relationships of ichnofossils: a case study of Ediacaran–Cambrian animal traces
<p class="MsoNormal"><span class="Heading1Char"><em>Abstract — </em></span>Trace fossils record foraging behaviours, the search for resources in patchy environments, of animals in the rock record. Quantification of the strength, density and nature of foraging behaviours enables the investigation of how these may have changed through time. Here, we present a novel approach to explore such patterns using spatial point process analyses to quantify the scale and strength of ichnofossil spatial distributions on horizontal bedding planes. To demonstrate the utility of this approach we use two samples from the terminal Ediacaran Shibantan Member in South China (between 551 and 543 Ma) and the early Cambrian Nagaur Sandstone in northwestern India (between 539 and 509 Ma). We find that ichnotaxa on both surfaces exhibited significant non-homogeneous lateral patterns, with distinct levels of heterogeneity exhibited by different types of trace fossils. In the Shibantan, two ichnotaxa show evidence for mutual positive aggregation over a shared resource, suggesting the ability to focus on optimal resource areas. Trace fossils from the Nagaur Sandstone exhibit more sophisticated foraging behaviour, with greater niche differentiation. Critically, mark correlation functions highlight significant spatial autocorrelation of trace fossil orientations, demonstrating the greater ability of these Cambrian tracemakers to focus on optimal patches. Despite potential limitations, these analyses hint at changes in the development and optimisation of foraging at the Ediacaran–Cambrian transition and highlight the potential of spatial point process analysis to tease apart subtle differences in behaviour in the trace fossil record.</p>
County-level of particle and gases emission inventory for animal dung burning in the Qinghai–Tibetan Plateau, China
<p><strong>County-level of particle and gases emission inventory for animal dung burning in the Qinghai–Tibetan Plateau, ChinaCounty-level of particle and gases emission inventory for animal dung burning in the Qinghai–Tibetan Plateau, China</strong></p>
datacleanr manuscript animated example: Extract Recipe
<p>Animated example (GIF) of datacleanr's capabilities showing the "Extract Recipe" Tab.</p> <p>The software <a href="https://github.com/the-Hull/datacleanr">datacleanr </a>is an R package for reproducible and interactive data processing.</p>
datacleanr manuscript animated example: Visual Cleaning and Annotating
<p>Animated example (GIF) of datacleanr's capabilities showing the "Visual Cleaning and Annotating" Tab.</p> <p>The software <a href="https://github.com/the-Hull/datacleanr">datacleanr </a>is an R package for reproducible and interactive data processing.</p>
datacleanr manuscript animated example: Filtering
<p>Animated example (GIF) of datacleanr's capabilities showing the "Filtering" Tab.</p> <p>The software <a href="https://github.com/the-Hull/datacleanr">datacleanr </a>is an R package for reproducible and interactive data processing.</p>
datacleanr manuscript animated example: Set-Up and Overview
<p>Animated example (GIF) of datacleanr's capabilities showing the "Set-up and Overview" Tab.</p> <p>The software <a href="https://github.com/the-Hull/datacleanr">datacleanr </a>is an R package for reproducible and interactive data processing.</p>
Hemodynamic data from the Inspired Therapeutics NeoMate Mechanical Circulatory Support System for neonates and infants as tested in static mock circulatory loops, dynamic mock circulatory loops, and acute animal studies
<p>Inspired Therapeutics (Merritt Island, FL) is developing a mechanical circulatory support (MCS) system designed as a single driver with interchangeable, extracorporeal, magnetically levitated pumps. The NeoMate system design features an integrated centrifugal rotary pump, motor, and controller that will be housed in a single compact unit. Conceptually, the primary innovation of this technology will be the combination of disposable, low-cost pumps for use with a single, multi-functional, universal controller to support multiple pediatric cardiopulmonary indications. In response to the paucity of clinically available pediatric devices, Inspired Therapeutics is specifically targeting the underserved neonate and infant heart failure (HF) patient population first. In this article, we present the development of the prototype Inspired Therapeutics NeoMate System for pediatric left ventricular assist device (LVAD) support, and feasibility testing in static mock flow loops (H-Q curves), dynamic mock flow loops (hemodynamics), and in an acute healthy ovine model (hemodynamics and clinical applicability). The resultant hydrodynamic and hemodynamic data demonstrated the ability of this prototype pediatric LVAD and universal controller to function over a range of rotary pump speeds (500-6000 RPM), to provide pump flow rates of up to 2.6 L/min, and to volume unload the left ventricle in acute animals. Key engineering challenges observed and proposed solutions for the next design iteration are also presented.</p>
Distribution. Turkey, S Russia (Daghestan and Chechnya), NE Georgia, Armenia, Azerbaijan, N Iraq, Iran, Turkmenistan, Afghanistan, and SW Pakistan. A free-roaming population introduced in 1970 in SC New Mexico, USA, increased to 2000 animals, but the population is actually maintained at 500-1000 by legalized sport hunting. in Bovidae
Distribution. Turkey, S Russia (Daghestan and Chechnya), NE Georgia, Armenia, Azerbaijan, N Iraq, Iran, Turkmenistan, Afghanistan, and SW Pakistan. A free-roaming population introduced in 1970 in SC New Mexico, USA, increased to 2000 animals, but the population is actually maintained at 500-1000 by legalized sport hunting.
Subspecies and Distribution. A.l.lerviaPallas,1777—Morocco,NA.l.,andNTunisia. A.l.angusiRothschild,1921—NWNiger(Air&TermitMassifs). A.l.blaineiRothschild,1913—SELybia,NEChad,andNW&NESudan(probablynowrestrictedtoRedSeahills). A.l.fassiniLepri,1930—NWLibya,extremeSTunisia. A.l.ornatus1.GeoffroySaint-Hilaire,1827—SE&SWEgypt. A. l. sahariensis Rothschild, 1913 — S Morocco, Western Sahara, NW Mauritania, S A.l ria, extreme S Libya, NE Mali, SE Niger, and NW Chad. Introduced, free-ranging populations occur in S Spain, the Canary Is, USA (California, New Mexico, and Texas), and NE Mexico. Subspecies of free-ranging introduced populations are unknown because they originate from zoo animals of uncertain origin or from hybrids. Most introduced populations are probably from subspecies lervia, derived from European zoos. The Aoudad has become a widespread invasive species. in Bovidae
Subspecies and Distribution. A.l.lerviaPallas,1777—Morocco,NA.l.,andNTunisia. A.l.angusiRothschild,1921—NWNiger(Air&TermitMassifs). A.l.blaineiRothschild,1913—SELybia,NEChad,andNW&NESudan(probablynowrestrictedtoRedSeahills). A.l.fassiniLepri,1930—NWLibya,extremeSTunisia. A.l.ornatus1.GeoffroySaint-Hilaire,1827—SE&SWEgypt. A. l. sahariensis Rothschild, 1913 — S Morocco, Western Sahara, NW Mauritania, S A.l ria, extreme S Libya, NE Mali, SE Niger, and NW Chad. Introduced, free-ranging populations occur in S Spain, the Canary Is, USA (California, New Mexico, and Texas), and NE Mexico. Subspecies of free-ranging introduced populations are unknown because they originate from zoo animals of uncertain origin or from hybrids. Most introduced populations are probably from subspecies lervia, derived from European zoos. The Aoudad has become a widespread invasive species.
Subspecies and Distribution. R.t.tarandusLinnaeus,1758—Norway. R.t.caribouGmelin,1788—SCanada(fromSYukontoLabradorandNewfoundland)andNWUSA(NEWashington,NIdaho&WMontana). R.t.fennicusLonnberg,1909—FinlandandNWRussia(Karelia). R.t.groenlandicusLinnaeus,1767—Alaska,NCanada,WGreenland. R.t.pearsoniLydekker,1903—NovayaZemlya(Russia). R.t.pearyiJ.A.Allen,1902—CanadianArcticIs. R. t. phylarchus Hollister, 1912 — Russian Far East (Amur region, Okhotsk area, Sakhalin, Kamchatka). R.t.platyrhynchusVrolik,1829—Svalbard(Norway). R.t.sibiricusMurray,1866—NSiberiantundra,RussianArcticIs. R. t. valentinae Flerov, 1933 — Ural Mts (Russia), Altai Mts, Mongolia. Feral Icelandic population originated from animals introduced from Norway in 1771; they have been introduced also into South Georgia Is (in 1911-1912 and 1925) and Kerguelen Is (in 1955). in Cervidae
Subspecies and Distribution. R.t.tarandusLinnaeus,1758—Norway. R.t.caribouGmelin,1788—SCanada(fromSYukontoLabradorandNewfoundland)andNWUSA(NEWashington,NIdaho&WMontana). R.t.fennicusLonnberg,1909—FinlandandNWRussia(Karelia). R.t.groenlandicusLinnaeus,1767—Alaska,NCanada,WGreenland. R.t.pearsoniLydekker,1903—NovayaZemlya(Russia). R.t.pearyiJ.A.Allen,1902—CanadianArcticIs. R. t. phylarchus Hollister, 1912 — Russian Far East (Amur region, Okhotsk area, Sakhalin, Kamchatka). R.t.platyrhynchusVrolik,1829—Svalbard(Norway). R.t.sibiricusMurray,1866—NSiberiantundra,RussianArcticIs. R. t. valentinae Flerov, 1933 — Ural Mts (Russia), Altai Mts, Mongolia. Feral Icelandic population originated from animals introduced from Norway in 1771; they have been introduced also into South Georgia Is (in 1911-1912 and 1925) and Kerguelen Is (in 1955).
The upper canines of the male Sulawesi Babirusa grow upwards through the snout and continue to grow in a backward-curving spiral. They are too brittle and shallow rooted to be used in fighting and theirfunction, if any, is unknown. Until recently, all babirusas were classified as a single species. The genus has now been split into at least three species, based on features of their skulls and teeth and the amount of hair on their bodies. The Sulawest Babirusa has nearly naked skin. The name Babyrousa celebensis specifically refers to animals from north Sulawesi and the taxonomic identity of babirusas onthe rest of the island remains undecided. Unlike other pig species, babirusas do not have noses adapted for rooting. Babyrousa celebensis Lore Lindu National Park, Sulawesi. Photo: Berndt Fischer/ photolibrary.com in Suidae
The upper canines of the male Sulawesi Babirusa grow upwards through the snout and continue to grow in a backward-curving spiral. They are too brittle and shallow rooted to be used in fighting and theirfunction, if any, is unknown. Until recently, all babirusas were classified as a single species. The genus has now been split into at least three species, based on features of their skulls and teeth and the amount of hair on their bodies. The Sulawest Babirusa has nearly naked skin. The name Babyrousa celebensis specifically refers to animals from north Sulawesi and the taxonomic identity of babirusas onthe rest of the island remains undecided. Unlike other pig species, babirusas do not have noses adapted for rooting. Babyrousa celebensis Lore Lindu National Park, Sulawesi. Photo: Berndt Fischer/ photolibrary.com
The relative influence of history, climate, topography and vegetation structure on local animal richness varies among taxa and spatial grains
<p>Understanding the spatial scales at which environmental factors drive species richness patterns is a major challenge in ecology. Due to the trade-off between spatial grain and extent, studies tend to focus on a single spatial scale, and the effects of multiple environmental variables operating across spatial scales on the pattern of local species richness have rarely been investigated.</p> <p>Here, we related variation in local species richness of ground beetles, landbirds, and small mammals to variation in vegetation structure and topography, regional climate, biome diversity, and glaciation history for 27 sites across the USA at two different spatial grains.</p> <p>We studied the relative influence of broad-scale (landscape) environmental conditions using variables estimated at the site level (climate, productivity, biome diversity, and glacial era ice cover) and fine-scale (local) environmental conditions using variables estimated at the plot level (topography and vegetation structure) to explain local species richness. We also examined whether plot-level factors scale up to drive continental scale richness patterns. We used Bayesian hierarchical models and quantified the amount of variance in observed richness that was explained by environmental factors at different spatial scales.</p> <p>For all three animal groups, our models explained much of the variation in local species richness (85-89%), but site-level variables explained a greater proportion of richness variance than plot-level variables. Temperature was the most important site-level predictor for explaining variance in landbirds and ground beetles richness. Some aspects of vegetation structure were the main plot-level predictors of landbird richness. Environmental predictors generally had poor explanatory power for small mammal richness, while glacial era ice cover was the most important site-level predictor.</p> <p>Relationships between plot-level factors and richness varied greatly among geographical regions and spatial grains, and most relationships did not hold when predictors were scaled up to continental scale. Our results suggest that the factors that determine richness may be highly dependent on spatial grain, geography, and animal group. We demonstrate that instead of artificially manipulating the resolution to study multi-scale effects, a hierarchical approach that uses fine grain data at broad extents could help solve the issue of scale selection in environment-richness studies. </p>
A method for determining the origin of crude drugs derived from animals using MinION, a compact next-generation sequencer
<p><span>We evaluated whether MinION, an inexpensive, portable sequencer, can be applied for identifying the origin of crude drugs</span> <span>derived from animals</span><span>.</span><span> Standard and nonstandard crude drugs with different species of origin were examined. In addition, the standards mixed with nonstandard samples </span><span>were used</span><span>.</span><span> As a target gene, cytochrome c oxidase I was amplified and sequenced. The Fast mode results had a slightly lower match ratio than High-accuracy mode, but the animals of origin were correctly determined by BLAST for all samples. For antler velvet derived from <em>Rangifer tarandus</em>, even the sequences were aligned based on <em>Cervus elaphus</em>, the animal of origin was determined correctly. Minor contents could be detected from mixtures of two animals, if the mixtures contained at least 19:1 mtDNA when the coverage allele-fraction threshold was 0.05. By contrast, in Fast mode, two sequences could not be separated due to the low accuracy of the base-calling in each read. For field work, the species of origin of crude drugs could be identified, by only simple DNA extraction and library preparation. Therefore, MinION appears to be a convenient tool for identifying the origin of crude drugs derived from animals.</span></p>
Methodological confounds of measuring urinary oxidative stress in wild animals
<p>Biomarkers of oxidative stress (OS) are useful in addressing a wide range of research questions, but thus far, they have had limited application to wild mammal populations due to a reliance on blood or tissue sampling. A shift towards non-invasive measurement of OS would allow field ecologists and conservationists to apply this method more readily. However, the impact of methodological confounds on urinary OS measurement under field conditions has never been explicitly investigated. We combined a cross-sectional analysis with a field experiment to assess the impact of four potential methodological confounds on OS measurements: 1) time of sampling, 2) environmental contamination from foliage; 3) delay between sample collection and flash-freezing in liquid nitrogen; 4) sample storage of up to 15 months below -80C. We measured DNA oxidative damage (8-hydroxy-2'-deoxyguanosine, 8-OHdG), lipid peroxidation (malondialdehyde, MDA), Total Antioxidant Capacity (TAC) and uric acid (UA) in 167 urine samples collected from wild Zanzibar red colobus (Piliocolobus kirkii). We found that MDA was higher in samples collected in the morning than in the afternoon but there were no diurnal patterns in any of the other markers. Contamination of samples from leaf surfaces and time frozen at -80°C for up to 15 months did not affect OS marker concentrations. Freezing delay did not affect OS levels cross-sectionally, but OS values from individual samples showed only moderate to good consistency and substantial rank order reversals when exposed to different freezing delays. We recommend that the impact of storage time on OS marker concentrations and diurnal patterns of OS markers be considered when designing sampling protocols. However, given the high stability we observed for four OS markers subject to a variety of putative methodological confounds, we suggest that urinary OS markers provide a valuable addition to the toolkit of field ecologists and conservationists within reasonable methodological constraints.</p>
NDVI animation
<p>The video provides an animation of the yearly means of NDVI of the Kathmandu district from the year 2001-2021. The Greener the pixel, the more dense the vegetation is and the yellow pixel shows the built-up areas. </p>
Animal Recognition Using Methods Of Fine-Grained Visual Analysis - Kashtanka Pets (400 Hand-labelled Images - Cats & Dogs, Single Folder)
<p>400 images (200 cats, 200 dogs) hand-labelled by Maria E. with head and body bounding box labels in YOLOv5 format. Images are in a single folder, no separate folders for cats and dogs.</p>
Animal Recognition Using Methods Of Fine-Grained Visual Analysis - Kashtanka Pets (200 Hand-labelled Images, Cats and Dogs, Separate Folders)
<p>400 images (200 cats, 200 dogs) hand-labelled by Maria E. with head and body bounding box labels in YOLOv5 format. Images for cats, for dogs are in a separate folders.</p>
Distribution. Known only from Bele River valley, vicinity of Lake Habbema, WC New Guinea; it may occur on Mt Minni, Star Mts, but capture of a living animal is needed to confirm species identity. in Muridae
Distribution. Known only from Bele River valley, vicinity of Lake Habbema, WC New Guinea; it may occur on Mt Minni, Star Mts, but capture of a living animal is needed to confirm species identity.
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.